we're back at vemma in 2022 we're here at the aria hotel in las vegas this is thecube's continuous coverage we're day two welcome to the cxo session we have ceo cto cso chief strategy officer brett diamond is the ceo justin jardina is the cto and dante orsini is the chief strategy officer for 11 11 systems recently named i guess today the impact cloud service provider of the year congratulations guys welcome thank you welcome back to the cube great to see you again thank you great likewise so okay brett let's start with you tell give us the overview of 11 1111 uh your focus area talk about the the the island acquisition what that what that's all about give us the setup yeah so we started 11-11 uh really with a focus on taking the three core pillars of our business which are cloud connectivity and security bring them together into one platform allowing a much easier way for our customers and our partners to procure those three solution sets through a single company and really focus on uh the three main drivers of the business uh which you know have a litany of other services associated with them under each platform okay so so justin cloud connectivity and security they all dramatically changed in march of 2020 everybody had to go to the cloud the rather rethink the network had a secure remote worker so what did you see from a from a cto's perspective what changed and how did 11 respond sure so early on when we built our cloud even back into 2008 we really focused on enterprise great features one of which being uh very flexible in the networking so we found early on was that we would be able to architect solutions for customers that were dipping their toe in the cloud and set ourselves apart from some of the vendors at the time so if you fast forward from 2008 until today we still see that as a main component for iaz and draz and the ability to start taking into some of the things brett talked about where customers may need a point-to-point circuit to offload data connectivity to us or develop sd-wan and multi-cloud solutions to connect to their resources in the cloud in my opinion it's just the natural progression of what we set out to do in 2008 and to couple that with the security um if you think about what that opens up from a security landscape now you have multiple clouds you have different ingress and egress points you have different people accessing workloads in each one of these clouds so the idea or our idea is that we can layer a comprehensive security solution over this new multi-cloud networking world and then provide visibility and manageability to our customer base so what does that mean specifically for your customers because i mean we saw obviously a rapid move toward endpoint um cloud security uh identity access you know people really started thinking rethinking that as opposed to trying to just you know build a moat around the castle right um what does that mean for for your customer you take care of all that you partner with whomever you need to partner in the ecosystem and then you provide the managed service how does that work right it does and that's a great analogy you know we have a picture of a hamburger in our office exploded with all the components and they say a good security policy is all the pieces and it's really synonymous with what you said so to answer your question yes we have all that baked in the platform we can offer managed services around it but we also give the consumer the ability to access that data whether it's a ui or api so dante i know you talk to a lot of customers all you do is watch the stock market go like this and like that you say okay the pandemic drove all these but but when you talk to csos and customers a lot of things are changing permanently first of all they were forced to march to digital when previously they were like we'll get there i mean a lot of customers were let's face it i mean some were serious about it but many weren't now if you're not a digital business you're out of business what have you seen when you talk to customers in terms of the permanence of some of these changes what are they telling you well i think we go through this for ourselves right the business continues to grow you've got tons of people that are working remotely and that are going to continue to work remotely right as much as we'd like to offer up hybrid workspace and things like that some folks are like hey i've worked it out i'm working out great from home right and also i think what justin was saying also is we've seen time go on that operating environment has gotten much more complex you've got stuff in the data center stuff it's somebody's you know endpoint you've got various different public clouds different sas services right that's why it's been phenomenal to work with veeam because we can protect that data regardless of where it exists but when you start to look at some of the managed security services that we're talking about we're helping those csos you get better visibility better control and take proactive action against the infrastructure um when we look at threat mitigation and how to actually respond when when something does happen right and i think that's the key because there's no shortage of great security vendors right but how do you tie it all together into a single solution right with a vendor that you can actually partner with to help secure the environment while you go focus on the things they're more strategic to the business i was talking to jim mercer at um red hat summit last week he's an idc analyst and he said we did a survey i think it was last summer and we asked customers to your point about there's no shortage of security tools how do you want to buy your security and you know do you want you know best to breed bespoke tools and you sort of put it together or do you kind of want your platform provider to do it now surprisingly they said platform provider the the problem is that's aspirational for a lot of platforms providers so they've got to look to a managed service provider so brett talk about the the island acquisition what green cloud is how that all fits together so we acquired island and green cloud last year and the reality is that the people at both of those companies and the technology is what drove us to making those acquisitions they were the foundational pieces to eleven eleven uh obviously the things that justin has been able to create from an automation and innovation perspective uh at the company is transforming this business in a litany of different ways as well so those two acquisitions allow us at this point to take a cloud environment on a geographic footprint not only throughout the us but globally uh have a security product that was given to us from from the green cloud acquisition of cascade and add-on connectivity to allow us to have all three platforms in one all three pillars so i like 11 11 11 is near and dear to my heart i am so where'd the name come from uh everybody asked me this question i think five times a day so uh growing up as a kid everyone in my family would always say 11 11 make a wish whenever you'd see it on the clock and uh during coven we were coming up with a new name for the business my daughter looked at the microwave said dad it's 11 11. make a wish the reality was though i had no idea why i'd been doing it for all that time and when you look up kind of the background origination derivation of the word uh it means the time of day when everything's in line um and when things are complex especially with running all the different businesses that we have aligning them so that they're working together it seemed like a perfect man when i had the big corner office at idc i had my staff meetings at 11 11. because the universe was aligned and then the other thing was nobody could forget the time so they gave him 11 minutes to be there now you'll see it all the time even when you don't want to so justin we've been talking a lot about ransomware and and not just backup but recovery my friend fred moore who you know coined the phrase backup is one thing recovery is everything and recovery time network speeds and and the like are critical especially when you're thinking cloud how are you architecting recovery for your clients maybe you could dig into that a little bit sure so it's really a multitude of things you know you mentioned ransomware seeing the ransomware landscape evolve over time especially in our business with backup and dr it's very singular you know people protecting against host nodes now we're seeing ransomware be able to get into an environment land and expand actually delete backups target backup vendors so the ransomware point i guess um trying to battle that is a multi-step process right you need to think about how data flows into the organization from a security perspective from a networking perspective you need to think about how your workloads are protected and then when you think about backups i know we're at veeam vmon now talking about veeam there's a multitude of ways to protect that data whether it's retention whether it's immutability air gapping data so while i know we focus a lot sometimes on protecting data it's really that hamburg analogy where the sum of the parts make up the protection so how do you provide services i mean you say okay you want immutability there's a there's a line item for that um you want faster or you know low rpo fast rto how does that all work for as a customer what what am i buying from you is it just a managed service we'll take care of everything platinum gold silver or is it if if you don't mind so i'm glad you asked that question because this is something that's very unique about us years ago his team actually built the ip because we were scaling at such an incredible rate globally through all our joint partners with veeam that how do we take all the intelligence that we have in his team and all of our solution architects and scale it so they actually developed a tool called catalyst and it's a pre-sales tool it's an application you download it you install it it basically takes a snapshot of your environment you start to manipulate the data what are you trying to do dave are you trying to protect that data are you backing up to us are you trying to replicate for dr purposes um you know what are you doing for production or maybe it's a migration it analyzes the network it analyzes all your infrastructure it helps the ses know immediately if we're a feasible solution based on what you are trying to do so nobody in the space is doing this and that's been a huge key to our growth because the channel community as well as the customer they're working with real data so we can get past all the garbage and get right to what's important for them for the outcome yeah that's huge who do you guys sell to is it is it more mid-sized businesses that maybe don't have the large teams is it larger enterprises who want to complement to their business is it both well i would say with the two acquisitions that we made the go-to-market sales strategies and the clientele were very different when you look at green cloud they're selling predominantly wholesale through msps and those msps are mostly selling to smbs right so we covered that smb market for the most part through our acquisition of green cloud island on the other hand was more focused on selling direct inbound through vars through the channel mid enterprise big enterprise so really those two acquisitions outside of the ip that we got from the systems we have every single go-to-market sale strategy and we're aligned from smb all the way up to the fortune 500. i heard a stat a couple months ago that that less than 50 of enterprises have a sock it blew me away and you know even small businesses need one they may not be able to afford but certainly a medium size or larger business should have some kind of sock is it does that stat jive with what you're seeing in the marketplace 100 if that's true the need for a managed service like this is just it's going to explode it is exploding yeah i mean 100 right there is zero unemployment in the cyberspace right just north america alone there's about a million or so folks in that space and right now you've got about 600 000 open wrecks just in north america right so earlier we talked about no shortage of tools right but the shortage of head count is a significant challenge big time right most importantly the people that you do have on staff they've got alert fatigue from the tools that they do have that's why you're seeing this massive insurgence in the managed security services provider lack of talent is number one challenge for csos that's what they'll tell you and there's no end in sight to that and it's you know another tool and and it's amazing because you see security companies popping up all the time billion dollar evaluations i mean lacework did a billion dollar raise and so so there's no shortage of funding now maybe that'll change you know with the market but i wanted to turn our attention to the keynotes this morning you guys got some serious love up on stage um there was a demo uh it was a pretty pretty cool demo fast recovery very very tight rpo as i recall it was i think four minutes of data loss is that right was that the right knit stat i was happy it wasn't zero data loss because there's really you know no such thing uh but so you got to feel good about that tell us about um how that all came about your relationship with with veeam who wants to take it sure i can i can take a step at it so one of the or two of the things that i'm um most excited about at least with this vmon is our team was able to work with veeam on that demo and what that demo was showing was some cdp-based features for cloud providers so we're really happy to see that and the reason why we're happy to see that is that with the veeam platform it's now given the customers the ability to do things like snapshot replication cdp replication on-prem backup cloud backup immutability air gap the list goes on and on and in our opinion having a singular software vendor that can provide all that through you know with a cloud provider on prem or not is really like the icing on the cake so for us it's very exciting to see that and then also coupled with a lot of the innovation that veeam's doing in the sas space right so again having that umbrella product that can cover all those use cases i'll tell you if you guys can get a that was a very cool demo if we can get a youtube of that that that demo i'll make sure we put it in the the show notes and uh of this video or maybe pop it into one of the blogs that we write about it um so so how you guys feel i mean this is a new chapter for you very cool with a couple of acquisitions that are now the main mainspring of your strategy so the first veeam on in a couple years so what's the vibe been like for you what's the nighttime activity the customer interaction i know you guys are running a lot of the back end demos so you're everywhere what's the what's the vibe like at veeamon and how does it feel to be back look at that one at dante as far as yeah you got a lot of experience here yeah let me loose on this one dave i'm like so excited about this right it's been it's been far too long to get face to face again and um veeam always does it right and i think that uh for years we've been back-ending like all the hands-on lab infrastructure here but forget about that i think the part that's really exciting is getting face-to-face with such a great team right we have phenomenal architects that we work with at veeam day in and day out they put up with us pushing them pushing and pushing them and together we've been able to create a lot of magic together right but i think it's you can't replace the human interaction that we've all been starving for for the last two years but the vibe's always fantastic at veeam if you're going to be around tonight i'll be looking forward to enjoying some of that veeam love with you at the after party yeah that's well famous after parties we'll see if that culture continues i have a feeling it will um brett where do you want to take 11 11. a new new phase in all of your careers you got a great crew out here it looks like i i love that you're all out and uh make some noise here people let's hear it all right let's see you this is the biggest audience we've had all week where do you want to take 11 11. i think you know if uh if you look at what we've done so far in the short six months since the acquisitions of green cloud and ireland obviously the integration is a key piece we're going to be laser focused on growing organically across those three pillars we've got to put more capital and resources into the incredible ip like i said earlier that just and his team have created on those front ends the user experience but you know we made two large acquisitions obviously mna is a is a key piece for us we're going to be diligent and we're probably going to be very aggressive on that front as well to be able to grow this business into the global leader of cloud connectivity and security and i think we've really hit a void in the industry that's been looking for this for a very long time and we want to be the first ones to be able to collaborate and combine those three into one when the when the cloud started to hit the steep part of the s-curve kind of early part of the last decade people thought oh wow these managed service providers are toast the exact opposite happened it created such a tailwind and need for consistent services and integration and managed services we've seen it all across the stack so guys wish you best of luck congratulations on the acquisitions thank you uh hope to have you back soon yeah thank you around the block all right keep it right there everybody dave vellante for the cube's coverage of veeamon 2022 we'll be right back after this short break

hello everybody thank you for joining us today from the virtual verdict of BBC 2020 today's breakout session is entitled putting complex data types to work I'm Jeff Healey I lead vertical marketing I'll be a host for this breakout session joining me is Deepak Magette II technical lead from verdict engineering but before we begin I encourage you to submit questions and comments during the virtual session you don't have to wait just type your question or comment and the question box below the slides and click Submit it won't be a Q&A session at the end of the presentation we'll answer as many questions were able to during that time any questions we don't address we'll do our best to answer them offline alternatively visit Vertica forms that formed up Vertica calm to post your questions there after the session engineering team is planning to join the forms conversation going and also as a reminder that you can maximize your screen by clicking a double arrow button in the lower right corner of the slides yes this virtual session is being recorded and will be available to view on demand this week we'll send you a notification as submits ready now let's get started over to you Deepak thanks yes make sure you talk about the complex a textbook they've been doing it wedeck R&D without further delay let's see why and how we should put completely aside to work in your data analytics so this is going to be the outline or overview of my talk today first I'm going to talk about what are complex data types in some use cases I will then quickly cover some file formats that support these complex website I will then deep dive into the current support for complex data types in America finally I'll conclude with some usage considerations and what is coming in are 1000 release and our future roadmap and directions for this project so what are complex stereotypes complex data types are nested data structures composed of tentative types community types are nothing but your int float and string war binary etc the basic types some examples of complex data types include struct also called row are a list set map and Union composite types can also be built by composing other complicated types computer types are very useful for handling sparse data we also make samples on this presentation on that use case and also they help simplify analysis so let's look at some examples of complex data types so the first example on the left you can see a simple customer which is of type struc with two fields namely make a field name of type string and field ID of type integer structs are nothing but a group of fields and each field is a type of its own the type can be primitive or another complex type and on the right we have some example data for this simple customer complex type so it's basically two fields of type string and integer so in this case you have two rows where the first row is Alex with name named Alex and ID 1 0 and the second row has name Mary with ID 2 0 0 2 the second complex type on the left is phone numbers of type array of data has the element type string so area is nothing but a collection of elements the elements could be again a primitive type or another complex type so in this example the collection is of type string which is a primitive type and on the right you have some example of this collection of a fairy type called phone numbers and basically each row has a set or the list or a collection of phone numbers on the first we have two phone numbers and second you have a single phone number in that array and the third type on the slide is the map data type map is nothing but a collection of key value pairs so each element is actually a key value and you have a collection of such elements the key is usually a primitive type however the value is can be a primitive or complex type so in this example the both the key and value are of type string and then if you look on the right side of the slide you have some sample data here we have HTTP requests where the key is the header type and the value is the header value so the for instance on the first row we have a key type pragma with value no cash key type host with value some hostname and similarly on the second row you have some key value called accept with some text HTML because yeah they actually have a collection of elements allison maps are commonly called as collections as a to talking to in mini documents so we saw examples of a one-level complex steps on this slide we have nested complex there types on the right we have the root complex site called web events of type struct script has a for field a session ID of type integer session duration of type timestamp and then the third and the fourth fields customer and history requests are further complex types themselves so customer is again a complex type of type struct with three fields where the first two fields name ID are primitive types however the third field is another complex type phone numbers which we just saw in the previous slide similarly history request is also the same map type that we just saw so in this example each complex types is independent and you can reuse a complex type inside other complex types for example you can build another type called orders and simply reuse the customer type however in a practical implementation you have to deal with complexities involving security ownership and like sets lifecycle dependencies so keeping complex types as independent has that advantage of reusing them however the complication with that is you have to deal with security and ownership and lifecycle dependencies so this is on this slide we have another style of declaring a nested complex type do is call inlined complex data type so we have the same web driven struct type however if you look at the complex sites that embedded into the parent type definition so customer and HTTP request definition is embedded in lined into this parent structure so the advantage of this is you won't have to deal with the security and other lifecycle dependency issues but with the downside being you can't reuse them so it's sort of a trade-off between the these two so so let's see now some use cases of these complex types so the first use case or the benefit of using complex stereotypes is that you'll be able to express analysis mode naturally compute I've simplified the expression of analysis logic thereby simplifying the data pipelines in sequel it feels as if you have tables inside table so let's look at an example on and say you want to list all the customers with more than one thousand website events so if you have complex types you can simply create a table called web events and with one column of type web even which is a complex step so we just saw that difference it has four fields station customer and HTTP request so you can basically have the entire schema or in one type if you don't have complex types you'll have to create four tables one essentially for each complex type and then you have to establish primary key foreign key dependencies across these tables now if you want to achieve your goal of of listing all the customers in more than thousand web requests if you have complex types you can simply use the dot notation to extract the name the contact and also use some special functions for maps that will give you the count of all the HTTP requests grid in thousand however if you don't have complex types you'll have to now join each table individually extract the results from sub query and again joined on the outer query and finally you can apply a predicate of total requests which are greater than thousand to basically get your final result so it's a complex steps basically simplify the query writing part also the execution itself is also simplified so you don't have to have joins if you have complex you can simply have a load step to load the map type and then you can apply the function on top of it directly however if you have separate tables you have to join all these data and apply the filter step and then finally another joint to get your results alright so the other advantage of complex types is that you can cross this semi structured data very efficiently for example if you have data from clique streams or page views the data is often sparse and maps are very well suited for such data so maps or semi-structured by nature and with this support you can now actually have semi structured data represented along with structured columns in in any database so maps have this nice of nice feature to cap encapsulated sparse data as an example the common fields of a kick stream click stream or page view data are pragma host and except if you don't have map types you will have to end up creating a column for each of this header or field types however if you have map you can basically embed as key value pairs for all the data so on the left here on the slide you can see an example where you have a separate column for each field you end up with a lot of nodes basically the sparse however if you can embed them into in a map you can put them into a single column and sort of yeah have better efficiency and better representation of spots they imagine if you have thousands of fields in a click stream or page view you will have thousands of columns you will need thousands of columns represent data if you don't have a map type correct so given these are the most commonly used complexity types let's see what are the file formats that actually support these complex data types so most of file formats popular ones support complex data types however they have different serve variations so for instance if you have JSON it supports arrays and objects which are complex data types however JSON data is schema-less it is row oriented and this text fits because it is Kimmel s it has to store it in encase on every job the second type of file format is Avro and Avro has records enums arrays Maps unions and a fixed type however Avro has a schema it is oriented and it is binary compressed the third category is basically the park' and our style of file formats where the columnar so parquet and arc have support for arrays maps and structs the hewa schema they are column-oriented unlike Avro which is oriented and they're also binary compressed and they support a very nice compression and encoding types additionally so the main difference between parquet and arc is only in terms of how they represent complex types parquet includes the complex type hierarchy as reputation deflation levels however orc uses a separate column at every parent of the complex type to basically the prisons are now less so that apart from that difference in how they represent complex types parking hogs have similar capabilities in terms of optimizations and other compression techniques so to summarize JSON has no schema has no binary format in this columnar so it is not columnar Avro has a schema because binary format however it is not columnar and parquet and art are have a schema have a binary format and are columnar so let's see how we can query these different kinds of complex types and also the different file formats that they can be present in in how we can basically query these different variations in Vertica so in Vertica we basically have this feature called flex tables to where you can load complex data types and analyze them so flex tables use a binary format called vemma to store data as key value pairs clicks tables are schema-less they are weak typed and they trade flexibility for performance so when I mean what I mean by schema-less is basically the keys provide the field name and each row can potentially have different keys and it is weak type because there's no type information at the column level we have some we will see some examples of of this week type in the following slides but basically there's no type information so so the data is stored in text format and because of the week type and schema-less nature of flex tables you can implement some optimum use cases like if you can trivially implement needs like schema evolution or keep the complex types types fluid if that is your use case then the weak tightness and schema-less nature of flex tables will help you a lot to get give you that flexibility however because you have this weak type you you have a downside of not getting the best possible performance so if you if your use case is to get the best possible performance you can use a new feature of the strongly-typed complex types that we started to introduce in Vertica so complex types here are basically a strongly typed complex types they have a schema and then they give you the best possible performance because the optimizer now has enough information from the schema and the type to implement optimization system column selection or all the nice techniques that Vertica employs to give you the best possible color performance can now be supported even for complex types so and we'll see some of the examples of these two types in these slides now so let's use a simple data called restaurants a restaurant data - as running throughout this poll excites to basically see all the different variations of flex and complex steps so on this slide you have some sample data with four fields and essentially two rows if you sort of loaded in if you just operate them out so the four fields are named cuisine locations in menu name in cuisine or of type watch are locations is essentially an array and menu array of a row of two fields item and price so if you the data is in JSON there is no schema and there is no type information so how do we process that in Vertica so in Vertica you can simply create a flex table called restaurants you can copy the restaurant dot J's the restaurants of JSON file into Vertica and basically you can now start analyzing the data so if you do a select star from restaurants you will see that all the data is actually in one column called draw and it also you have the other column called identity which is to give you some unique row row ID but the row column base again encapsulates all the data that gives in the restaurant so JSON file this tall column is nothing but the V map format the V map format is a binary format that encodes the data as key value pairs and RAW format is basically backed by the long word binary column type in Vertica so each key essentially gives you the field name and the values the field value and it's all in its however the values are in the text text representation so see now you want to get better performance of this JSON data flex tables has these nice functions to basically analyze your data or try to extract some schema and type information from your data so if you execute compute flex table keys on the restaurants table you will see a new table called public dot restaurants underscore keys and then that will give you some information about your JSON data so it was able to automatically infer that your data has four fields namely could be name cuisine locations in menu and could also get that the name in cuisine or watch are however since locations in menu are complex types themselves one is array and one is area for row it sort of uses the same be map format as ease to process them so it has four columns to two primitive of type watch R and 2 R P map themselves so now you can materialize these columns by altering the table definitions and adding columns of that particular type it inferred and then you can get better performance from this materialized columns and yeah it's basically it's not in a single column anymore you have four columns for the fare your restaurant data and you can get some column selection and other optimizations on on the data that Whittaker provides all right so that is three flex tables are basically helpful if you don't have a schema and if you don't have any type of permission however we saw earlier that some file formats like Parker and Avro have schema and have some type information so in those cases you don't have to do the first step of inputting the type so you can directly create the type external table definition of the type and then you can target it to the park a file and you can load it in by an external table in vertical so the same restaurants dot JSON if you call if you transfer it to a translations or park' format you can basically get the fields with look however the locations and menu are still in the B map format all right so the V map format also allows you to explode the data and it has some nice functions to yeah M extract the fields from P map format so you have this map items so the same restaurant later if you want to explode and you want to apply predicate on the fields of the RS and the address of pro you can have map items to export your data and then you can apply predicates on a particular field in the complex type data so on this slide is basically showing you how you can explode the entire data the menu items as well as the locations and basically give you the elements of each of these complex types up so as I mentioned the menus so if you go back to the previous slide the locations and menu items are still the bond binary or the V map format so the question is if you want what if you want to get perform better on the V map data so for primitive types you could materialize into the primitive style however if it's an array and array of row we will need some first-class complex type constructs and that is what we will see that are added in what is right now so Vertica has started to introduce complex stereotypes with where these complex types is sort of a strongly typed complex site so on this slide you have an example of a row complex type where so we create an external table called customers and you have a row type of twit to fields name and ID so the complex type is basically inlined into the tables into the column definition and on the second example you can see the create external table items which is unlisted row type so it has an item of type row which is so fast to peals name and the properties is again another nested row type with two fixed quantities label so these are basically strongly typed complex types and then the optimizer can now give you a better performance compared to the V map using the strongly typed information in their queries so we have support for pure rows and extra draws in external tables for power K we have support for arrays and nested arrays as well for external tables in power K so you can declare an external table called contacts with a flip phone number of array of integers similarly you can have a nested array of items of type integer we can declare a column with that strongly typed complex type so the other complex type support that we are adding in the thinner liz's support for optimized one dimensional arrays and sets for both ross and as well as RK external table so you can create internal table called phone numbers with a one-dimensional array so here you have phone numbers of array of type int you can have one dimensional you can have sets as well which is also one color one dimension arrays but sets are basically optimized for fast look ups they are have unique elements and they are ordered so big so you can get fast look ups using sets if that is a use case then set will give you very quick lookups for elements and we also implemented some functions to support arrays sets as well so you have applied min apply max which are scale out that you can apply on top of an array element and you can get the minimum element and so on so you can up you have support for additional functions as well so the other feature that is coming in ten o is the explored arrays of functionality so we have a implemented EU DX that will allow you to similar similar to the example you saw in the math items case you can extract elements from these arrays and you can apply different predicates or analysis on the elements so for example if you have this restaurant table with the column name watch our locations of each an area of archer and menu again an area watch our you can insert values using the array constructor into these columns so here we inserting three values lilies feed the with location with locations cambridge pittsburgh menu items cheese and pepperoni again another row with name restaurant named bob tacos location Houston and totila salsa and Patty on the third example so now you can basically explode the both arrays into and extract the elements out from these arrays so you can explode the location array and extract the location elements which is which are basically Houston Cambridge Pittsburgh New Jersey and also you can explode the menu items and extract individual elements and now you can sort of apply other predicates on the extruded data Kollek so so so let's see what are some usage considerations of these complex data types so complex data types as we saw earlier are nice if you have sparse data so if your data has clickstream or has some page view data then maps are very nice to have to represent your data and then you can sort of efficiently represent the in the space wise fashion for sparse data use a map types and compensate that as we saw earlier for the web request count query it will help you simplify the analysis as well you don't have to have joins and it will simplify your query analysis as I just mentioned if your use cases are for fast look ups then you can use a set type so arrays are nice but they have the ordering on them however if your primary use case to just look up for certain elements then we can use the set type also you can use the B map or the Flex functionality that we have in Vertica if you want flexibility in your complex set data type schema so like I mentioned earlier you can trivially implement needs like scheme evolution or even keep the complex types fluid so if you have multiple iterations of unit analysis and each iteration we are changing the fields because you're just exploring the data then we map and flex will give you that nice ease to change the fields within the complex type or across files and we can load fluid complex you can load complexity types with bit fluids is basically different fields in different Rho into V map and flex tables easily however if you're once you basically treated over your data you figured out what are the fields and the complex types that you really need you can use the strongly typed complex data types that we started to introduce in Vertica so you can use the array type the struct type in the map type for your data analysis so that's sort of the high level use cases for complex types in vertical so it depends on a lot on where your data analysis phase is fear early then your data is usually still fluid and you might want to use V Maps and flex to explore it once you finalize your schema you can use the strongly typed complex data types and to get the best possible performance holic so so what's coming in the following releases of Vertica so antenna which is coming in sometime now so yeah so we are adding which is the next release of vertical basically we're adding support for loading Park a complex data types to the V map format so parquet is a strongly typed file format basically it has the schema it also has the type information for each of the complex type however if you are exploring your data then you might have different park' files with different schemes so you can load them to the V map format first and then you can analyze your data and then you can switch to the strongly typed complex types we're also adding one dimensional optimized arrays and sets in growth and for parquet so yeah the complex sets are not just limited to parquet you can also store them in drawers however right now you only support one dimension arrays and set in rows we're also adding the Explorer du/dx for one-dimensional arrays in the in this release so you can as you saw in the previous example you can explode the data for of arrays in arrays and you can apply predicates on individual elements for the erase data so you can in it'll apply for set so you can cause them to milli to erase and Clinics code sets as well so what are the plans paths that you know release so we are going to continue both for strongly-typed computer types right now we don't have support for the full in the tail release we won't have support for the full all the combinations of complex types so we only have support for nested arrays sorriness listed pure arrays or nested pure rows and some are only limited to park a file format so we will continue to add more support for sub queries and nested complex sites in the following in the in following releases and we're also planning to add this B map data type so you saw in the examples that the V map data format is currently backed by the long word binary data format or the other column type because of this the optimizer really cannot distinguish which is a which is which data is actually a long wall binary or which is actually data and we map format so if we the idea is to basically add a type called V map and then the optimizer can now implement our support optimizations or even syntax such as dot notation and yeah if your data is columnar such as Parque then you can implement optimizations just keep push down where you can push the keys that are actually querying in your in your in your analysis and then only those keys should be loaded from parquet and built into the V map format so that way you get sort of the column selection optimization for complex types as well and yeah that's something you can achieve if you have different types for the V map format so that's something on the roadmap as well and then unless join is basically another nice to have feature right now if you want to explode and join the array elements you have to explode in the sub query and then in the outer query you have to join the data however if you have unless join till I love you to explode as well as join the data in the same query and on the fly you can do both and finally we are also adding support for this new feature called UD vector so that's on the plan too so our work for complex types is is essentially chain the fundamental way Vertica execute in the sense of functions and expression so right now all expressions in Vertica can return only a single column out acceptance in some cases like beauty transforms and so on but the scalar functions for instance if you take aut scalar you can get only one column out of it however if you have some use cases where you want to compute multiple computation so if you also have multiple computations on the same input data say you have input data of two integers and you want to compute both addition and multiplication on those two columns this is for example but in many many machine learning example use cases have similar patterns so say you want to do both these computations on the data at the same time then in the current approach you have to have one function for addition one function for multiplication and both of them will have to load the data once basically loading data twice to get both these computations turn however with the Uni vector support you can perform both these computations in the same function and you can return two columns out so essentially saving you the loading loading these columns twice you can only do it once and get both the results out so that's sort of what we are trying to implement with all the changes that we are doing to support complex data types in Vertica and also you don't have to use these over Clause like a uni transform so PD scale just like we do scalars you can have your a vector and you can have multiple columns returned from your computations so that sort of concludes my talk so thank you for listening to my presentation now we are ready for Q&A

you live from Miami Beach Florida Biman 2019 brought to you by beam welcome back to Miami everybody this is the cube the leader in live tech coverage I'm Dave Volante with my co-host Peter burst we're wrapping up day two of v-mon 2019 and so we've been talking about cloud hybrid cloud data protection backup evolving to more of an automated data management environment can bring dollars here and he is in charge of really building out the VM ecosystem that he's the vice president of global alliance architecture at VM Kent great to see you again thanks for coming on yeah thanks Dave preciate so the ecosystem is evolving you know you're in a competitive marketplace but one of the things that differentiates Veeam is you know billion dollar company and people want to do business with your customers and so the ecosystem keeps growing and growing and you guys have some you know blue chip names at the top of your sponsor list we do a good job but you're not done yet so not at all and I think Dave you know it's it's really great to see how v-mon has evolved and you know in our partner ecosystem you know we have you know you talked about us hitting a billion dollars you know we rat marinelle's we hit 350,000 customers that customer number is a huge asset for us when we talked to our partners you know that is something that they're all trying to tap into right they love you know and our customers are really passionate and we have partners that come to us and they say hey look you know and that you know the bigger partners than us and they're saying hey will you please work with us will you please you know we want to do deeper integration because our customers you know are saying we're Veeam customers and and you you know you know mister partner you have to go work with teams so that so that our solutions will work better together so it's a it's a great asset to us yeah and it's it's evolved since you know it's just certainly just the first Vemma and I was at the very first one I think was we were talking was at the Aria whatever it was five years ago so so you know ecosystem is I think Jason Buffington was quoting Archimedes today and you know livre and and that ecosystem is is you know a huge opportunity for growth ok so let's get into it well first of all I want to ask you if time was interesting global alliance architecture yes so we're not talking technical architecture necessarily we're talking about what the architecture of the ecosystem or both yeah so some money you know my role my responsibilities and what my team looks after is everything technical related to our partners so veem we're a hundred percent is fee and you know ratmir and aundrea to co-founders and leaders to the company you know that that's something that they take to heart and it's something that's actually really valuable when we talk to our partners is we don't really overlap very much especially with the infrastructure partners that we have and so you know my job is to take the great products we have and make it work really well and go deep with our partners so create value with these partners there's sometimes their product integrations storage snapshot integrations we announced the width beam program two weeks ago we are together at that next with the rest of your team talking about Nutanix mine with theme which is a secondary storage integrated solution so all of those that's all part of my roles so solution architecture and product integrations you know through our partner ecosystem which which is very broad it stretches from storage partners to platform partners to other is feeds like Oracle SAT even healthcare partners yeah Peter we were excited about the width Eames stuff dat who is with Fein yours with Vemma yeah so my team is responsible for the overall architecture with Vemma it's it's really a joint collaboration within within Veeam so we have an R&D investment that's building the intellectual property that powers the you know the system under the covers my team's responsible for the broader architecture how we bring it together how we bring it to market through the channel right and and and how we bring it to our customers and that whole experience so my team is is intimately involved in that so a lot of people talk about inflection points in the industry and clearly were in the middle one way of describing it is that the first 50 years were known process unknown technology we never gonna do accounting we knew are going to do HR where you were going to do blah blah blah blah blah and there was mainframe client-server with a lot of other stuff but the whole notion of backup and restore and data protection grew up out of the complexity in the infrastructure as we move forward it's interesting because it's known technology it's gonna be cloud relatively known yes but what's interesting is we don't know what the processes are gonna be we don't know what we're gonna automate we don't know how we're going to change the business it's all going to be data driven which places an enormous burden on IT and specifically how they use data within the business so I'm gonna ask your question it's a long preamble but I'm asking the question I asked you out in there too and this is not the test but the question is look as we move forward as data is used to differentiate a business it suggests that there's going to be greater specialization in how data use is used which could and should lead to greater specialization in the role that veem and related technologies will play within the business and the question then is is the with veem approach a way to let allow innovation to bloom so that specialization can be accommodated and supported within the VM ecosystem yeah so yeah Peter good question and so I tell you that the short answer is yes the longer answer is I wasn't shorter than the short answer is yes the longer answer is it doesn't have to be with Veeam but really our goal and and what we want to empower our partners and so really the goal of with Veeam is hey we're already working across our partner ecosystem and we you know we work with with the likes of NetApp and HP and pure and Nutanix and you know and all the platform providers as well public clouds you know our goal is is to make VM ubiquitous and drive better value to our customers and through our partners right we need partners no matter what when we're working with a customer there's always there's always a workload we're protecting and we need a place to land our backup so no matter what we're always working with one or two partners in a deal and sometimes it's multiple because then you TR out to cloud storage and in other places you know with with veem what we're trying to do is is really simplify that process for customers and so make that process from the buying experience all the way through the delivery and the deployment and the management and the ongoing management day 1 and day 2 operations we want to make that all seamless and give them higher value now one thing we're looking to enable and by adding api's with veeam is we want to leverage the strengths of the partners we have and so you know I often end up in these discussions because we have a broad partner ecosystem we've already announced - with VM solutions we have a third that you know we did last year with Cisco that's in the market that's sort of similar in nature and we're gonna add more and you know the question our partners even ask us is you know you already got three of them why are you gonna add another one you know how am I going to differentiate and the answer is you know they differentiate with their own technology and and the idea is we have these open API so that they can they can build their own solutions they fit different markets and fit different use cases some are small small customer solutions some are enterprise but our goal is to enable them to be creative and how they build on top of eeeem but but have you know Veen be a core part of that solution rather so so it is a core part of solution yes apply to specific customer absolutely okay so the term seamless always you know triggers me in a way because seamless is like open right it's evolved over time and so what was seamless you know 10 years ago wasn't really seamless in today's terms so when you talk about seamless we're talking about if I understand it deep engineering right getting access to primitives through api's and creating solutions that are differentiable as a function of your partner's core value proposition and obviously integrating with meme with 350,000 customers so you're now in the ball game with with Veen customers so so so talk about the importance of api's and how that actually gets done yeah and seamless to whom to the partners to the customer to ultimately it's to the customer boom but but but there's got to be an ease of integration as well with the partners and I'd like to understand that better yeah absolutely so I'll give you an example of something we've done in the past that's that we're trying to model this with veem program after so but a year and a half as part of our 9.5 update 3 we introduced what we call universal storage API and we've talked about our version 10 there were five core features of version 10 when we announced that two years ago in New Orleans you're the first time you were you were with us at a v-mon and one of those was Universal storage API and what that means is you know we help we help our partners we help our customers ultimately by way of our partners on the primary side of integrating storage snapshots with vmware vsphere and so when we when we go to backup a vm we take a snapshot of that vm and with this with our storage snapshot integration we then take a storage snapshot of the volume that vm is on and we can release that VM where a snapshot very quickly so it's very low touch and low impact on the environment well we we introduced this API so that we could scale we had we had done our own storage snapshot and integration with you know call it 5 or 6 storage vendors over the previous seven years eight years right in the last year and a half we've added seven right and that's the scale we're talking about and allowing our partners to build the storage snapshot plug-in together right so we have a program we invite them into that program we collaborate on it they develop the plug-in we jointly test it and we release it and so we're trying to sort of take and that's been very successful as I said eight years five or six storage snapshot vendors year and a half we've done like another seven or eight so it's been very successful and we have more that are in queue so we'll be talking about more of these as time goes on in the very near future with the width beam program we're looking to do something very similar it's gonna be an invite-only program realistically the secondary storage partner is this the universe is probably 20 the logical universe for us is probably 10 to 12 so it's not going to be huge but it's gonna be impactful for our partners and so we'll invite them into the program we'll have an agreement of us working together we'll jointly develop and test it and we'll bring it to market together at the end of the day you know both our partner and veem we have our name on it and I'm sure you heard from rat mayor and Danny and others right we have our NPS score which we really really value and it's really high it's best in the industry and if we're putting our name on a solution in the market we also want to make sure that we're working on it together in it you know it really goes through the rigor of what it takes to bring a Vemma solution tomorrow actually you know what nobody's talked this week this week about the NPS core if they maybe they have in the keynote so that it might have missed it but well I was in the keynotes what is it today well yeah so so an NPS score is basically you know from from 0 to 100 it's it's you know we'll a customer reference you or recommend you right right and so ours is 73 ok the industry the the general average in in in our space is about 28 to 30 so we're about 2 and a half times that that's core you know and that's in Frank Zubin said to me one time it's easy to have a high NPS core if you're a one product company but you're not a one product company no no we've we've evolved substantially I mean you know we've we've added agents to cover physical workload we've we've added cloud support we've added other applications we've added veem availability Orchestrator we've added beam backup for office 365 we have VA C which is the availability console for our service providers which has cloud connected it's a very broad portfolio everything comes back to beam backup and replication as the flagship foundation but we have all these other products that that now help our customers solve their problems the reason we were so excited about this with wid theme is this notion of cloud and hybrid cloud and you talk about programmable infrastructure you really have been pushing just bringing the cloud experience to your data talking about that for a while and part of that has to be infrastructure as code and it can't really do that without open api's and this sort of seamless integration well the cloud is testing us with you as well the cloud is a really an architecture for how you're going to distribute work as opposed to how you can centralize Handicap I think for a long time we got it wrong it's all presumed and it's all gonna go to the center we're in fact when you get that level of standardization and common conventions and the technologies are built to make a tea that much easier it allows you to distribute the work a lot more effectively get the data closer to where the works going to be done and that is enormous implications for how we think about things but it also means that we when we talk about bringing the cloud to the data that the data has to be there the data services that make that data part of a broader fabric have to be there and it all has to be assured so that the system knows something about where the data is and what services can be applied to it in advance of actually moving the workloads that suggests ultimately that the technology set that veem is offering is going to evolve relatively rapidly so the whole notion of you know with V today for secondary storage but I could see that becoming something that you guys take two new classes of data service providers pretty quickly I don't want you to pre-announce anything but what do you think yeah Peter I think I think you're really on to something and when we when we sort of look at the worlds right the infrastructure world were in you know and and certainly some of our partners would draw a slightly different picture but we see Veen as as the common thread in the middle right because at the end of the day and I think you mentioned it as you were just talking there you know when we talk about hybrid cloud right we see now our customers especially commercial and enterprise and large enterprise customers it is it is a very heterogeneous environment it's multiple hypervisors different storage platforms it's multiple cloud providers because they're picking best to breed for the workload and so they need a platform that's got really breadth in depth of coverage and so the the one common thread we weave between there is Veeam right so if if we are that data protection layer as I mentioned before you know we're in the middle we're protecting a primary workload and we're writing our data to a secondary workload but in the middle is Veeam and so that workload we're protecting on Prem cloud secondary data centers theme is the thread in between there you can move that data around and wherever that is we can make use for now I'll give you a good example today you know let's say we're protecting a visa or workload on Prem right we back that up to it to assist them locally so we can have fast restore but ultimately we tear that out bean cloud tier capacity tear tear that's AWS so we can we can actually recover workloads in Atos one or two we have directory store which would take a backup from on-prem and directly move it there for DRAM migration purposes or we can simply consume that that backup that's now up in the cloud because Veen backups are self-describing we can lose the system on Prem and recover it so your point about making the data close to your workload with with veeam in the middle we enable that for our customers regardless of where they want to go yeah so we think that that's going to change the mindset from protection to assurance so assure your data is local and then it's the right data it's Integris and all the other things and then ultimately you know move it and back it up to some other site so it's but it's a subtle switch it's gonna be interesting to see how it plays out this is obviously well and as we talked about as you need to begin to protect things like containers like functions that come and go super quickly assurance has more meaning because there's the security threats and if you can help solve those problems through your partners through automation spinning containers up and down making it harder for the bad guys to you know a target a specific container raising essentially the cost so lowers their ROI that is a new game yeah and and I'll call out one thing a rat mayor I thought did a really good job on stage yesterday in his keynote he popped the slide which talked about the universal storage API and with theme and it had all our partners sort of around that you know that that I think he Illustrated our strategy which is hey we're focusing on the core parts of backup and replication and helping the core parts the data protection we're gonna partner with everything else that's adjacent to that we're not going to go solve maybe some of the security problems ourselves we're gonna enable some hooks secure restore maybe as an example we've announced you know in the technology keynote yesterday we announced a new API that allows partners to come in and crack open Veen backups and take a look at them one of the things could be deep inspection so you know our strategy and our goal is really to be open to our partners so that they can come in and add value and again our our goal for our customers is give them choice so give them choice of to choose best-of-breed solutions don't go do it and say hey you got to go use partner a you know hey we're gonna we're gonna have an API that others can build to and you go choose your best debris partner or your platform technology choice well and with 350,000 customers you've got a big observation space so guys have always been customer driven can give you the last word on vivant 2019 you're our last guest then we're gonna wrap with a little analysis on our end but give us the bumper sticker yeah I think the bumper sticker is hey you know we've you know from a business perspective you know we hit a billion dollars in bookings we have hit 350,000 customers the Innovation Train is really moving our Veen clouds here that we announced with update four earlier this year has gone way beyond our expectations and and we're looking to continue to build on that momentum so we're just super excited you know we if I'm the closer I'll say thanks to all of our sponsors we have a lot of great sponsors and on the cloud side on the on the Alliance partners side the channel side you know it's just it's it's a testament to where we are as a companies yeah and you're building out a great ecosystem congratulations on that and and good luck going forward and we'll see you around at the shows it's great it's great to have you guys right thank you all right you're welcome all right keep it right there everybody Peter and I went back to wrap right after this short break and watching the cube live from V Mon 2019 from Miami we'll be right back

live from Miami Beach Florida Biman 2019 brought to you by beam welcome back to sunny Miami everybody you're watching the cube the leader in live tech coverage we like to go out to the events extract the signal from the noise and we're here at Vemma on 2019 I'm Dave Volante with my co-host this is day 2 Peter Burris and I have been covering wall-to-wall coverage with the cube folks from net APIs are here Jeff McCullough who's the vice president of Americas partner sales for net app and our good friend Keith Norby who runs alliances for net up guys great to see you thanks for coming on thanks for having us so Keith let's start with you V has been a partner of yours for a while now you guys go to market together year you have always been very partner friendly particularly when it comes to data protection but what's the state of the partnership today yeah this is something that we'd looked at a couple years ago and got into a very much more strategic relationship with veem over a year ago kind of work through a lot of ways to reconnect and establish a better together and this is something that we think is a strategic opportunity is kind of backed by a lot of the data you see at this show talking about you know organizations are gonna change roughly 60% of the organization is going to change their platform because of cost complexity reasons and together we've been working with Veeam to figure out how to deliver data protection for a data fabric and and IDC validates that in a number of ways that we can unpack here on this on the show or in the conversations with customers and and we've gotten great reaction to it and Jeff you lead America's partner sales from North America South America the whole kit and kaboodle talk more about your role sure well my responsibility is net at partners I am I'm successful when our partners successful are successful so everything I do is all around putting our partners in the position of you know executing being successful within that brand certainly being profitable right having profitable strong businesses and and growing right growing and taking taking market share and and helping them expand and grow their respective business law you guys have dramatically increased the percentage of your sales that come through the channel over the last you know 10 10 12 years yes pretty significantly and there's a fundamental part of your strategy stager at this executive level so yeah for sure you know channel is its core to what we do you know when we go to market you know with developing our products or executing our marketing plans it's all around how do we go execute with partners right whether it's the tools the partners need the pricings the programs to help them go engage in the market that leads to man generation and we're at various stages in all these but you know what I think you'll see consistently from the partners that you know certainly will talk and talk about their net businesses we generally lead in profitability across our partner base and we absolutely lead in terms of total profitability when you include things like services attached and how we go and execute on us partner delivered services strategy so you know from I always say NetApp is it's not just a product category it's a whole economy for our channel and it puts people to work it allows them to expand and grow their teams and it's it's a critical part of many many of the partners that are here today at veeneman certain v-mon and and certainly in the marketplace and your partner friendly and assess that you don't have a huge services organization that's competing with your channel i mean that's a jerk yeah we put partner services in the forefront of everything we do Keith you talked about better together yeah what does that mean just in terms of engineering integration go to market I mean how did you sort over the last two years you know get better together what specific actions were you guys taking I think you got to look at it first from kind of the customer in the markets in and you got a look at what's the dynamic that requires change right that sort of shapes what your PRD and your Mardis are to make a product in this case you know we've got platforms that have incredible snapshot technologies so to me it really starts there with simplifying the way that you get the first copy of data and then simply working with the strengths that veem has and their platforms and making sure that we have great option ality between our replication and other snapshot technologies their replication tech to be able to give a level of flexibility for this data fabric to come to life you know no matter if you've got the traditional data center that's got these enterprise apps like at sa P Hana or others or you built the next generation data center like on that FH CI and you're building up scale out via more private cloud or you've got the hyper scalar cloud you know with our cloud volumes you know we have options on how we get data throughout the copy process of primary to secondary to you know cloud and tertiary data so you know to us it was about really making that as simple and as pre-wired as possible via the api's and then really making that easy for partners to go and grab on to to make it easy for someone to buy us because you always want to build something that people want to buy no one wants to be sold any of this stuff and so building the right thing that people want to buy the next step then with Jeff and reason why is so critical to this is getting that ready for the partners be able to have an easy process with their customers that frankly they love people hate to be sold they love to buy yeah let's talk about they love to buy one of the challenges that the entire industry has is we move through the significant transformation is customers user organizations or themselves in the midst of huge transformations institutional transformations technology transformations relationship with their business transformation mission transformation just starting with this whole role that the channel is has been playing it's going to play how will the channel be an increasing source of value add in the deal yeah how's that playing out to help these customers you know smooth their changes yeah and I think you know I was just watching the news this morning right target announced their earnings and a big part of their earnings announcement was the improvement they made in customer interaction through digital platforms right the ability to order online pick up in the store or order online and have it delivered same-day right and these are and it's just you know one example you can go down the list of customers that have really used transformation to change their business right and you know Chipotle who's trans you know they've transformed burritos now and a lot of their successes come through digital transformation platforms so you know the evidence is overwhelming that digital transformation drives better results and we've done a lot of study at this right we we have lots of detail around customers that know how to use data and you know that the basic fact is one out of ten customers is in a position to actually leverage data effectively right this is all of the research we've done along you know with partners with with other companies the other nine need help and this is where channel partners come in this is what I tell partners all the time is this digital transformation wave is real the results are real and the customers need to move is is real and so they play a role in can play a role in helping customers accelerate that digital transformation and so our portfolio is all around accelerating customers and their ability to leverage data to transform their business and partners through both of the portfolio that they sell but then the partner driven services that we promote and drive you know really stand out in the forefront of being able to help a customer execute these these really tough strategies and in you know the thing that reason why customers love partners is partners bring choices right and you know for us as vendors we have to deal with the other side of that which is partners have choices and who they sell so we represent a portfolio that is forward thinking it aligns to where the market is going the lines to the tough problems that customers have and it's you know in its a position that allows partners to be profitable and and make money helping customers transform and deliver their own success but it's got to be more than just partners cat create choices and here's one explain what I mean by that it's increasingly your typical CIO medium-sized company large size company which is where we spend most of our time is thinking in terms of what is going to bring me value today and also generate a stream of value for me in the future so I need choice now but options for the future that are relevant and meaningful and so partners increasingly have to be part of that options equation how are they going to create options for customers and you know one of the nice things about the relationship that you have the theme is that you are a partner to veem and presumably you're going to help Veen customers create additional types of options through this expanding folio of value that you guys have so so talk about that dynamic because it really requires an even greater dependency on that customer partner engagement including you know the dependency the beam has on on you guys yeah doing it maybe start with just the veem partnership partnership yeah I think you know which we create the conditions with which I think a partner comes to life with what we've tried to do in in the product building solutions and then trying to develop the go-to-market around the partners ability to go meet the market and what the market is asking for in such you know the partners have natural services on the front side of the assessments a bit like trying to help you plan your 401 K they help you like see what kind of data you don't even see we have a wealth of partners that just have incredible skills there and then as they take that through our solution we do everything we can to make that process easy to match our technology to that design requirement and then afterwards the partners always have these these great capabilities for things like you know a one call or a managed service to help take even more complexity off the table for people to just live with the ability to have data protected across all spectrums of where they have data live so the partner equation is definitely getting more complicated right if you dial back you know half a decade decade you had guys who sold hardware boxes they livox sellers we love them but and they moved a lot of a lot of product and they worked with you okay now the cloud comes in you guys they're going you know software-defined so you can run your services in the cloud you know or you run it on Prem you've got hybrid so it's a complicated equation much more so than it was in the past so how are you seeing the partners evolve and transform you know beyond the sort of box selling mentality of course you know VMware specialists you get those guys at sa P maybe Oracle but yeah but it's even more than that now with cloud isn't it oh yeah yeah you know cloud is you know kind of the third big disruptive wave in the channel right if you think of kind of client-server is the big first disruptive way of virtualization the second disruptive way to now cloud just purely from a channel perspective the third big one and maybe the biggest right because it is completely changing the dynamics and the economics of how partners operate and you know and we've been looking at this for you know for a long time and certainly as we move our portfolio as we transition our portfolio to be cloud enabled and native to the cloud it creates options but but you know the market is moving from you know deal based revenue to reoccurring revenue and what I see partners moving to is various various degrees of reoccurring revenue strategies whether they're setting up their own MSP business and they're opening up shop and they're doing data protection on demand or they are doing managed services on premise and they're charging customer or they're buying out the infrastructure I'm charging a customer once a month or they're selling services in the cloud and in what I think is also interesting and you can see the kind of the direction where the industry of a channel is going is when you look at the acquisitions that partners are making not only of each other but of software development right IP there are going out and buying software development because the the the long term opportunity is not just selling the infrastructure it's selling a solution solving a big problem right which could be this digital transformation opportunity but it's it's more than just sure I can I can upgrade your servers it's their digital transformation right it is you know you know kind of clouds not really a destination right everybody thinks clouds the destination I got to get to you know it's not a destination it's a tool in the bag that you know customer is going to use and certainly a partner is going to leverage cloud to create a money stream write a business model that is sustainable and can grow but it's super dynamically different than what we do you know what they're doing today so you guys talk about profitability before you had a point go ahead and I say balance all that against I think we're the volume the mass of the volume is even though the hyper scalars have a tremendous amount of growth it is still VM based it is still kind of on-prem based and so there's still in this two-year window of change the vast majority of the opportunity is going to be on Prem but you also have to factor in how you involve the cloud and that strategy as what ratmir would called second wave right of beams strategy and we're right in the heart of that I mean there isn't any greater strength than what we're doing as a company with NetApp than what we're doing with cloud and it's just a natural way for us to extend you know a partner's capability a customer's ability to buy what they what you'd want to get from NetApp and beam together well and what the hyper scales have done is they've changed the way in which people consume technology absolutely understand and NetApp is a great case study of a company that's moving through that process from a product orientation to a services orientation the key I want to come back to this notion of how the NetApp relationship with Veen creates new classes of options for Ravine customers as they thought try to think about data protection differently because precisely because it's Dave said you have expanded your portfolio you are going to market with a different value proposition than a couple years ago how is that playing out in your conversations with customers as they think about moving from a data protection that's focused on devices to a data protection that's focused on delivery of digital services yeah well it's not a great topic to talk about where do you start with that organically I think you look at the way people try to operate and deal with the operations of data protection you know it really starts there because you know cloud is really about IT operations what we've done is really try to simplify that stack to get beyond it being one single endpoint of technology so it's not just about how we take data sets you know from say a net F as or a net of HCI and bring it through Veeam to another thousand or eseries and then off to the cloud you know it's beyond just the basic technology it's much more operational and it's in its nature so if you look at all the stuff they're talking about here with VOA and all the discovery elements that they're doing to help make it easier one of the one of the areas that IDC caught particularly in one of our benefit statements on taking complexity off the table is our ability to have autodiscover of yemm's you know it's it's ways that you could make much more autonomy and orchestration of operations kind of come to life as a way of you doing this technology together that's only just one of the example points that we have on this better together with veem taking the heart of their core technology and where they're being you know pervade of in in not just a VM centric crowd but also hyper-v and some of the other things they talked about that's kind of the top of their rationalize stack and then bringing that down through the heart of our data fabric portfolio and saying you know any one point at which you're at we were able to put these things together at the heart of the first step and we kind of mapped this customer journey out in our presentation to the attendees here was this customer journey from the current form of complexities you have you know and moving that all the way through to snapshot integration platform selection of which ones would make sense for what scenario how we work through veem x' data replication and management technologies our data replication our data fabric technologies to get from one endpoint to the other so and then ultimately you gotta be able talk about the ability to restore or you really shouldn't be talking about backup all right we got a wrap but I'm gonna ask you guys each question Jeff from trip reports so from your standpoint you talkin sales momentum with partners what are you gonna tell your colleagues and Keith obviously the partnership with Veen what what are you gonna tell your colleagues when you get back home yeah so so for me it's you know this is we've talked about transformation this you know I think our relationship with Veeam and the strategies that we're executing is all around transforming data protection right and it's really around this concept of simplification and I think as we were chatting before before we started taping the you know simple simple matters right simplification or simple is really attractive feature and you know our ability to simplify data protection for customers in partnership with Veeam deliver solution that's you know clearly world-class and you know NetApp bringing world-class technology to the table it's a great partnership it creates an opportunity for us to go and have conversations with customers that made me never thought of NetApp before and and it's you know an opportunity for us to open a lot of doors and certainly for me what I care about it's an opportunity for our partners to open a lot of doors yeah I would just say listen we worked from our joint CEOs together so George and ratmir starting this like joint bond of alignment all the way down through product solutions feel Geo's channels we're gonna have explosive growth together you know we're gonna go address this market that is looking to change we've got something we're bringing together and it's absolutely better together great power players aligning at the top all the way down through the channel to the partners into the cloud bringing you all the data here the cube Jeff and Keith thanks very much for coming on the cube keep it right to everybody Peter Burris and I will be back with our next guest right after this short break we're live from Miami at Vemma in 2019 over a pack

live from Miami Beach Florida Biman 2019 brought to you by beam hi everybody welcome back to Miami I'm Dave Volante and this is day two of veeam on 2019 we're here at the Fontainebleau Hotel in beautiful sunny Miami a lot of swanky people a lot of big boats parties going on last night of course it's v-mon so you know there's a lot of fun this is the cube the leader in live tech coverage Allen Stern is here he's that technical solutions architect at Cisco really what that means is he's an evangelist the cube alam al and good to see you again great to see you again david coming on so yeah this is quite a venue as always Vemma action going on a lot of customers here 2,000 plus people so let's get into it hey Cisco we're gonna be at Cisco live in a couple weeks really excited about that it's gonna be a great show in San Diego absolutely another awesome venue we were in Barcelona earlier this year to do Cisco so we you know we love the circuit it's a great customer show I want to start with something that we talked about in Barcelona which is Cisco really as it evolves into the multi cloud world is is making the case that it's networks are more secure higher performance and more cost effective than anybody out there and it's in a good position to do that now we're gonna talk deep about infrastructure but I want to start there and just get your take on that sort of overall challenge to Cisco well it's not really a challenge it's an opportunity for us because we look at the cloud is this great opportunity you still have to have networking within your cloud provider you've still got to do all the things you do on your on-prem datacenter you just have to do it in somebody else's data center and what we've done is we wanted to simplify that operation so the way you deploy Cisco ACI on Prem you deploy it the same way in the cloud provider you're using the same interface and yeah on the backend we're doing different things because we're interfacing with their networking api's but to the end-user they don't have to know each cloud providers interface they just have to know Cisco and they know that it'll be configured correctly and if we think about what happens with a lot of the threats and attacks that occur in networks what's one of the easiest ways to get attacked it's a misconfigured network a firewall port that's left open but if you're doing it the same way every time regardless of where you're doing it that makes it a lot easier and reduces the the chance that you're going to make a mistake yeah and you guys can do the deep packet inspection you've got a lot of experience around that you're driving a lot of analytics and obviously machine intelligence is going to come into play and so but you've been able to go back to what you just said so give me an example so you guys have announced a multi cloud strategy is support basically you're essentially describing what we talked about on the cube all the time is bringing the cloud experience to your data wherever it is so whether it's on Prem in the public cloud supporting hybrid so you're saying for example if you've got a customer who's running on AWS and using you know heavily using AWS primitives and api's you make that transparent to the user is that correct absolutely okay and so it sounds like magic but it's a lot of hard work I'm sure a lot of software it is a lot of hard work from a lot of really smart people inside of Cisco that are we have some amazing developers now your your sweet spot is the infrastructure side of the business so UCS and and and obviously the partnership with Vemma which we'll get into but what's your swimlane so my swimlane really is our software-defined storage partners and our data protection partners and when when I started on this role a few years ago they seemed very very much separate and now what we're seeing is they're coming very much together because what are we what are customers looking to get away from tape what do they need large amounts of storage because we've seen this explosion of data we talked about it last year and we're seeing terms like yottabyte and branagh byte and I remember when I first saw branagh byte I was like is this something you know somebody watched too many episodes of The Flintstones but no it's it's a real term a yottabyte is a thousand exabytes and a branagh byte is a thousand yottabytes so data is growing at multiple orders of magnitude on a regular basis and we've got to store it differently than we have in the past if somebody sent me a stat and no just would you just reminded me of it Allen a couple months ago and I got to go back and research it but if anybody out there knows the stat it was astounding to me it said by by like 2025 or 2022 there's gonna be more bytes of data created or stored than there are stars in the universe now that just blew my mind and we could do the math and figure that out but I gotta go back and check out the link but to your point the the growth curve it's it's nonlinear you know used to be Moore's law and now their curve is is reshaping so when everybody talks about digital transformation they're what they're really talking about is making their business digital which is all about data and you talk about getting away from tape you can't have a bit digital business that runs on tape you could save tape you know for deep archive and stick it in the iron mountain or whatever but you can't recover yeah right now keep your business running 24/7 so to your point about those worlds coming together that really underscores it so what's your role in supporting digital business strategies and keeping businesses up and doing fast recovery and your partnership with Veen so we provide great platforms for folks like beam and the object storage vendor so beam now has fantastic integration with the s3 interface that many of these object providers allow cisco has very deep platforms you know we've got a 4u box that can hold 768 terabytes of data and if you think about how much data that is you know two of these units it's a petabyte and a half of data I mean that's a fantastic amount of data it's online it's available to them if they need to restore it they can do it quickly because each of those nodes has 160 gigabits per second of network connectivity but more importantly if they want to use some of this data it's available to them right on the platform they don't have to pull back the tape restore from tape and hope they got the right one it's about data management really yeah you're talking about all these fights and yottabytes and exabytes and and the growth of storage are you seeing a really a big a big wave a trend toward the petabyte data center yeah absolutely I mean it used to be petabytes where the purview of only the fortune 500 maybe and now we're seeing it really across the board as companies yeah we're digital hoarders and you look at my laptop I've got emails from 10 years ago I've got pictures of everything from forever companies are no different because we're there looking at data and saying I've got this data I'm not sure if it's valuable today but it may be worth something tomorrow let me hold on to it but their ability to access it and use it that's going to be the critical piece because you know it's like an oversized storage unit you stuff it full of stuff you're not really sure what's in there and if you have to find that one little widget that's in there forget it as the tools get better to go find the data within the bit bucket I mean that's where the real value is coming so we could go a little journey down memory lane and talk about the Cisco strategy and how its evolved I remember when you started you know it would ucs and I was like wow that's Cisco's getting into servers and kind of didn't really understand it until I dug into it and you guys obviously we're trying to change the game with converged infrastructure and you had some partnerships to do that but I remember one of my first questions was you had like a zillion VMs that you can run on on this this block yep and I said how do you protect that and they're really at the time it was like 2009 it was like well we could kind of bolt on and that's the way backup was back then fast forward to 2019 it seems like data protection is much more of an integrated component of people's digital strategy so one of you could talk about that a little bit and how your strategy has evolved yeah and and it absolutely is because we're not just talking about data protection anymore if you look at the capabilities of folks like beam it's really about data management it's not just hey back it up put it over in the vault and forget about it never use it again it's back it up put it in the vault and if you need it I can bring it back really quickly I can use it to test data with I can use it to scan for malware so I'm not reintroducing an infection after I've cleaned it out so a lot of ways to use it and in Cisco's providing the platforms to do that the days of the old monolithic storage arrays they're still going to be here but the world for them is shrinking because you think about what do they do they're the last bastion of vertically integrated systems we saw storage you know the mainframe still here but the world for it shrunk as we had x86 systems with the operating system of choice so we're seeing the same thing happening with storage customers are just they want to be able to use all this data that's out there and in my career I've observed it's always been about recovery like when something goes wrong how do you recover that that's always the killer question right and and so but now it's even more complicated because of Eames messaging this week has been fast recovery they announced a bunch of stuff that you could recover you know directly from backup don't have to go to a replicated you know set of data and so the compression that the time to recover has really compressed so have you seen that how are you guys responding to that you know both technically and just from a business standpoint it's a great question you and I have enough gray hair to remember the days of planned downtime that's going on yeah so now it's how do we build a platform they're going to enable the software side of the recovery but if the platform isn't capable of keeping up with the software then you've got a disconnect so you've got to have disk systems disk up systems that are capable of keeping up you've got to have networking you've got to have a completely integrated system that not only do we look at it and go okay well this software should work here we know that it does and we do cisco validated designs with folks like beam to make sure that the customers don't have to turn all the different nerd knobs to make sure they're going to get the optimal performance because at the end of the day they don't have time for that that's not their area of expertise and we want to make sure that they've got the always-on enterprise so I'd love to talk about the the horses on the track of the competitive landscape and I especially want to explore a little bit with you Alan the multi cloud you know some people don't like that term III think it's fine a hybrid you know to me is different than multi cloud I've argued that multi cloud has largely been a system of multi bender where people just line a business shadow IT and then all of a sudden you have these multiple clouds and Sasa's and but increasingly now organizations organizations saying ok CIOs get a handle on this okay so multi-cloud strategies have started to come into play Cisco announced in February I believe at Cisco live Barcelona a big push into multi-cloud you certainly see Dell EMC talking about it Google announced you know certainly Microsoft is there you guys have partnerships you were onstage David Koechner was at Google next cloud next so it's at Red Hat IBM's acquisition of Red Hat so you you have all these interesting you know cooperative to a petition and and and and people companies going after this multi cloud so question how do you see the multi cloud opportunity what's Cisco's strategy with regard to that obviously you're coming at it from a standpoint of network and infrastructure strength but I wonder if you could talk about that a little bit and sort of summarize the opportunity and what your strategy is sure so I want to go back to a quote a famous quote by John Chambers he said we were plumbers for the network and being a plumber is an honorable profession and I think while we've certainly expanded beyond that we still do that whether you know you're talking about multi cloud strategies well you still got to connect to all of these different clouds whether it's you know infrastructure or as a service you've still got to connect to it so that it works efficiently for your enterprise we want to make sure that we enable that technology that we're giving the customers what they need from that technology and there's still room for for on-prem it's not like any of this is going away it's select whatever feature is best for that particular customer so you know if there's an as a service provider that does customer CRM better than anybody else by all means go use them and we'll help you connect to them help you secure it and with partners we may help you back up if it's email you know without saying who it is we know who it is but you've still got to back that up where are you going to back it up how are you going to have the networking how are you going to have security so Cisco provides all of that enabling technology to make sure that you've got the enterprise that's secure and you can connect all of them so it operates seamlessly for you as as your multi virtualized enterprise well and so cisco has always been a a partner friendly organization you've stressed optionality every one of those companies I mentioned is a partner of yours as well and you know it's like Joe Tucci said hey sometimes we compete sometimes we partner at the end of the day it's the customers going to decide right so if I understand you correctly just from a from a control playing standpoint you've got software technology that that your customers can use if a customer wants to use a VMware control plane you'll you'll play there or some other you know third party that's the strategy correct and but at the same time you're investing in your own IP to build the best control plane and other I guess you know network capabilities data playing infrastructure as possible yeah we wanted we're gonna leverage you know their infrastructure because in some ways they're ubiquitous but there's things that they don't do you know network analytics we do that better than anybody else with you know products like tetration also performs some security functions we have stealth watch you know at the branch you want to make sure that nefarious things aren't happening on your network that without you knowing it so we want to enable that visibility and allow the customers to take action so it's not just enabling the technologies it's protecting the technologies as well so I think a lot of it is things that these other infrastructure providers aren't doing or they're not doing well we can do well because of our history because of our continued investment in all of these areas you know Cisco we have a lot of money to spend on R&D and we spend it well to other areas I want to absolutely you get great engineers and also you do you do acquisitions pretty well but to other areas you want to cover that we haven't touched upon that much hyper-converged you know you said you guys kind of started the converged infrastructure or at least the modern era and then hyper-converged comes in you've got to play there and I want to talk about the edge but let's start with HCI so HCI we've got a fantastic platform in Cisco hyperflex we've continued to evolve it you know we have spinning disks we have all flash we have nvme we've got hybrid so whatever the customers performance needs are we're there with them and if as we look at it this is about simplifying and collapsing the infrastructure that's what converged infrastructure did we went out partnered with some leading companies in the storage space at the time and said how do we make this easier for customers consume we reel it into the data center they turn it on they move their workloads to it well now we've seen this cost model in in technology shift towards hyper-converged where it's x86 servers running the storage and the compute together and you wheel it in you move your workloads to it and you grow it in very nice easy to consume increments and it just it just works and that's coupled with our management plan and and I can never overemphasize that when you look at how we manage hyperflex how it plugs into our new inter-site product which is a cloud offering to let you manage the the infrastructure anywhere inter-site will help you deploy the hyper-converged infrastructure so we continue to focus on making this easy to consume well so now that leads me to your tagline the anywhere data center which which I want to ask you about the edge IOT I know it's not your area of expertise but I love what what the dev net group has done with infrastructure is code I see all these CC II's gettin retrained and and coming up with really some amazing use cases I mean I saw one at Cisco live in Barcelona you know basically an edge case in a police vehicle with some with some cisco HCI infrastructure it was unreal and just collecting data at the edge which is critical but so what's your strategy with the edge what do you see as the opportunity there so we've got you the hard part is always defining the edge is the edge the branch is it my home office is it a telephone pole but well where the answer is yes yes and yes right absolutely so at some of the edge we've got the Cisco hyper flex edge device which is a two node hyper flex cluster we've got small servers that fit into our routers for collecting edge data there so really the idea is meet the data where it is and to the degree that we can let's help process it there because you can't always bring all the data back yeah and what I like about Cisco strategies to sort of set the context there's many infrastructure providers I would observe are trying to take a top-down approach to say okay we've got this box we're gonna go put it on the edge and you guys do that too but what I really like about of your approach is that your box is programmable so I can develop applications at the edge I can do that with a cloud provider if I want to I can do that directly using you know Cisco api's and so I think that gives you guys an advantage and obviously your networking estate you know helps as well Alan great to have you back in the cube thanks so much and give you the last word on v-mon 2019 you know it's a great show we love being here beam is a fantastic partner we're doing some really innovative things and you know it's just it's wonderful to be here I'm almost speechless yeah so the cube is here all day today we got keynotes now coming up so we're going to come back after those keynotes of course Veeam has its big customer party tonight the bean parties are renowned always a lot of fun always great food and then always some kind of interesting twist so Alan thanks again for coming on the cube great to see you pleasure I keep it right there buddy we'll be back right after this short break I'm Dave Volante you're watching the cube from v-mon 2019