[Music] [Applause] [Music] [Applause] [Music] hi I'm Stu minimun with wiki bond and welcome to another wiki bond the cube digital community event this one sponsored by Dell EMC of course it's a big week in the industry VMware is having their big European show in Barcelona VMworld and while we are not there in person we have some news that we want to dig into with Dell EMC so like all of our digital community events we're gonna have about 25 minutes of video and then afterwards we're going to have a crowd chat we're gonna have a panel where you have the opportunity to dig in ask your questions give us your viewpoint and talk about everything that's going on so it's important to pay attention think about what questions participate in the crowd chat afterward and thanks so much for joining us talk about the business issues of the day to help us frame this discussion I'm happy to welcome back to the program Pete manka who's the senior vice president with converged infrastructure and solutions engineering at Dell MC Pete great to see you great see you Tuesday all right so Pete converged infrastructures come a long way you and I have a lot of history in this space you know more than a decade now we've been in here so but from a customer standpoint you know this has matured a lot I wouldn't want you to start out give us the customer perspective you know what was convergent restrictor designed to do how is it living up to that and you know what's the state of it today sure well as you said we've got a long history in this and ten years ago we started this business to really simplify IT operations for our customers and we tried to remove the silos between storage compute and networking management and we're doing that we created this market called converged infrastructure by converging the management of those three siloed operations in doing so we added a tremendous amount of value for our customers fast forward now over the years earlier this year we come up with a product that the BX block 1000 that allows us to scale considerably greater within a single environment adding more value to our customer we're very customer driven at Dell EMC as you know and so we talked to our customers again and said what else do you want what else do you want and they pushed us for more automation in more monitoring support for the product and that's really what we're here to talk about today is how we get from simplifying IT operations for customers through allowing scale architectures to eventually automating the customers environment for them yeah when you talk about simplification that the the industry has really been really galvanized gotten really excited at hyper-converged infrastructure and I hear simple that's kind of what HCI is gonna do Dell of course has both converged and hyper-converged we've talked a lot as to how they both fit maybe now you know give give us the update as to you know the relevance of CI today while HCI is still continuing to grow really that sure yeah HDI is a hot market obviously and it is growing fast and customers should be excited about HDI because it's a great solution right it enables the customers get an application up and running very quickly and it's great for scale out architectures you want to add symmetric type nodes and skill oh you're at your application your architecture it's great for that but like all architectures it doesn't fit all solutions or all problems for the customers and there's a place for CI and there's a place for HCI the end you think about HCI versus CI CI is great for asymmetrically scaling architectures you want to have more storage more networking more memory inside your servers more compute you can do that through a CI portfolio and for customers who need that asymmetrical scaling for customers who need high availability very efficient scale type storage environments scale of compute environments you can do that through a CI platform much more efficiently than you can through other platforms in the market alright Pete you mentioned that there was announcement earlier in the year that the VX block 1000 so for those that don't have hauled of history like us that followed from the V block of the BX block and now the 1000 helped remind us what was different about this from things in the past sure when we first started out in the conversion structure business we had blocks that were specific to storage configurations if you wanted a unity or v-max you had to buy a specific model of our of our VX block product line that's great but we realize customers and customers told us they wanted a mix environment they wanted to have a multi-use environment in their block so we created the VX block 1000 announced in February and it allows you to mix and match your storage sand bar along with your compute environment and scales out at a much greater capacity than we could through the original block design so and we're providing the customer a much larger footprint managed by within a single block but also a choice allowing them to have multiple application configurations within the same block all right so people now what what's Del DMC doing to bring converged infrastructure for it even more how are we expanding you know what it's gonna do for customers and the problems they're looking to solve yeah right so again we went back to our customers that said ok tell us your experience with block you tell us what you like tell us what you don't like and they love the product it's been a very successful product they said we want more automation we want more monitoring you want the ability to see what's happening as well as automate workflows and procedures that we have to do to get our workloads up and running quicker and more automated fashion so what we're gonna talk about today is how we're going to do that we're going to provide more automation capabilities and the ability to monitor through our VM work you realize suite toolset alright great Pete I appreciate you helping kind of lay the groundwork we're gonna be back in a quick second one of your peers from Dell MC to dig into the product so stay with us we'll be back right after this this quick break [Music] vx block system 1000 simplifies IT accelerates the pace of innovation and reduces operating costs storage compute networking and virtualization components are all unified in a single system transforming operations and delivering better business outcomes faster this is achieved by five foundational pillars that set Dell EMC apart as the leading data center solutions provider each VX blocks system 1000 is engineered manufactured managed sustained and supported as one welcome back joining me to dig into this announcement is Dan Mita who's the vice president of converged infrastructure engineering at Dell EMC damn thanks for joining us thanks for having me all right so Pete kind of teased out of what we're doing here talked about what we've been building on for the last ten years in the converging infrastructure industry please elaborate you know what this is and shuttle from there yeah absolutely so to your point we know customers have been buying VX blocks and V blocks for the last ten years and there's lots of good reasons behind all of that we also know that customers been asking us for better monitoring better reporting and more orchestration capabilities we this announcement we think we're meeting those challenges so there's three things that I'd like to talk about one is we're gonna help customers raise the bar around awareness of what's going on within the environment we'll do that through health checks and dashboards performance dashboarding real-time alerting for the first time the second thing we'll talk about is we talked about a different level of automation than we've ever had before when it comes to orchestration we'll be introducing the ability to set up the services necessary to run orchestrated workflows and then our intention is to bring to market those engineered workflows and lastly would be you know analytics deeper analytics for customers that want to go even further into why their system is drifted from a known good state we're gonna give them the capabilities to see that great so Dan I think back from the earliest days that you know Vblock was always architected to you know transform the way operations are done what really differentiates this you know how important is there are things like the analytics of you're doing yeah sure so you're right today our customers use element managers to do most of that what this tool will allow them to do is kind of abstract a lot of the complexity folk in the element managers themselves if you think about an example where our customer wants to provision an ESXi host add it to a cluster and you say a Power Max bulan we know there's about a dozen manual steps to do that it cuts across four element managers and that also means you're going to be touching your administrators across compute network storage and virtualization with this single tool that will guide you first by checking the environment taking you through an orderly set of questions or inputs and then lastly validating the environment we know that we're going to help customers eliminate any undue harm that might do to an environment but we're also gonna save them time effort and money by getting it done quicker ok so Dan it sounds like there's a new suite of software explain it exactly what is it and how do all these pieces fit together yeah so there's three pieces in this week foundational is what we call the X blocks central so the X Box central is going to go out mandatory with all new VX blocks we're also going to make it available to our customers running older 300 500 and 700 family the X blocks and we'll provide a migration path for customers that are using vision today that's the tool that's going to allow them to do that performance health and RCM compliance dashboarding as well as do metrics based in real-time alerting one loved one step up from that one layer up from that is what we call the X block orchestration so this this product is being built underneath the V realize operations or excuse me orchestration tool and it's essentially like I said it's going to provide those all of those tools for setting up the services to run the workflows and then we'll provide those workflows so that example that I gave just a minute ago about provisioning that host will have a workflow from that right out of the gate ok so you mentioned the the vir ops thing you know VMware has always been a you know a very important piece of the whole stack there's yeah be in front of everything in the product line while you're announcing it this week at you know vmworld your and you know explain a little bit more that integration between the VMware pieces so you mentioned V Rob's and that's the third piece in this suite right so that is that it's going to provide us the dashboarding to provide all of that detailed analytics so if you think about it we're using V realized opera orchestra ssin as a workflow engine we're using V ROPS for that intelligent insight into the operations as a framework for the things that we're doing but essentially what we've given customers at this point is a framework for a cloud management or a cloud operations model sitting on top of a converged infrastructure alright Dan thanks for explaining all that now we're gonna throw it over to a customer to really hear what they think of this announcement when we started to talk about the needs to innovate within business technology and move forward with the business we knew we had to advance our technology offerings standardize our data center and help bring all our technology to current date vs block allowed us to do that in one purchase and also allowed us to basically bring our entire data center ten years forward with one step the benefits we've seen from the X block from my side of the house I now have that sleep at night capability because I have full high availability I have industry-leading technology the performance is there their applications are now more available we now have a platform where we can modernize our entire system we can add blades we can add storage we can add networking as we need it out of the box all knowing that it's been engineered and architected to work together it has literally set it and forget it for us we go about our daily business and now we've transitioned from a maintenance time set and a maintenance mindset to now we can participate in meetings to help drive business innovation help drive digital transformation within our company and really be that true IT strategic partner the business is looking for with the implementation of VX blocks central upcoming we should be able to get a better idea of what's going on in our VX block through one dashboard we're very sensitive about the number of dashboards we try to view do the whole death bi dashboard situation especially for a small team we really believe yes block central is going to be beneficial for us to have a quick health overview of our entire unit encompassing all components as we discussed additional features coming out for the VX block one of the more interesting ones for me was to see the integration of VMware's be realized product into the VX block most importantly focused around orchestration and analytics that's something that we don't do a lot of right now but as our company continues to grow and we continue to expand our VX block into additional offerings I can see that being beneficial especially for our small team being able to you know or orchestrate and automate kind of daily tasks that we do now may benefit our team in the future and then the analytics piece as we continue to be a almost a service provider for our business partners having that analytic information available to us could be very beneficial from a from a cost revenue standpoint for us to show kind of the return on investment for our company one of the things that we kind of look forward to that the opportunities of VX block is going to give us given the feature set that's coming out is the ability to use automation for some of our daily business tasks that maybe is something as simple as moving a virtual machine from one host to another that seems pretty mundane at this point but as our company grows and workloads get more complex having the automation availability to be able to do that and have VMware do that on its own it's going to benefit our team always love hearing from customers I'm Peter Burris here in our Palo Alto studios let's also hear from a very important partner in this overall announcement that's VMware we've got OJ Singh who's a senior vice president and general manager the cloud management business unit at VMware with us AJ welcome to the cube thank you Peter of that to be here so Archie we've been hearing a lot of great new technology about you know converged infrastructure and how you do better automation and how you do better you know discovery and whatnot associated with it but these technologies been for around for a while and VMware has been a crucial partner of this journey for quite some time give us a little bit about the history absolutely you know this is a as you rightly pointed a long history with a VMware and Dell EMC goes back over a decade ago I started with Vblock in those days and we literally defined the converged infrastructure market at that point and and this partnership has continued to evolve and so this announcement we are really excited to be here you know to continue to announce our joint solutions to our common customers you know in this whole VX blocks 1000 along with the vitalife suite well the VX block Hardware foundation with VMware software foundation was one of the first places where customers actually started building what we now call private clouds tell us a little bit about how that technology came together and how that vision came together and how your customers have been responding to this combinations partnership for a while absolutely if you think about it from a customer standpoint they love the fact that it is a pre engineered solution and you know they have to put less effort and doing the lifecycle management maintenance of the solution so as part of kind of making it a pre engineered solution what we've done is you know made it such that the integrations between the VX block and visualize are out of the box so we put some critical components you know are of course the vSphere and NSX in there but in addition to that for the virial I set we have vro Orchestrator already built in there we have a special management pack that gets into detail dashboards that are related to the hardware associated with the X block also pre integrated in there so that if via ops runs in there it'll automatically kind of figure that as a dashboard out and can configure them and then finally we have VRA or you know an industry-leading automation platform that allows you self-service and literally build a private cloud on top of the X block so the VX central software has been letting or is now allows a customer to make better use of VMware yes similarly some of the new advancements that you're making within VMware are going to help VX bar customers get more out of their devices as well tell us a little bit about some of the recent announcements you've made that are very complimentary absolutely you know to some extent you know the V realized journey has been a journey about at the end of the day in enabling our customers to set up a self-managed private cloud and do large extent we're heading in the direction of what we say self-driving operations using machine learning technologies and all of that so in that kind of direction in that vision if you may we've actually now released with a great integration between VRA and via ops that for the first time closes the loop between the two solutions so that you can start to do intelligent workload placement right depending upon if I'm trying to optimize for cost I'm trying to optimize for tier of service you know whether it's bronze silver gold tier service I'm trying to optimize for software license management you know Oracle license is only going on Oracle tier etcetera this closed-loop with policy ensures you do that and that's the first step in this direction of self-driving that's a very important direction because customers are gonna try to build more complex systems based on or support more complex applications without at the same time seeing that complexity show up in the administration side now that leaves the last question I have because ultimately the two of you are working to make together to make customers successful so tell us a little bit about how your track record your history and your direction of working together in support in service to customers is going and where you think it's gonna go absolutely so we continue to work very closely in partnership and as partners we are committed to support our customers through thick and thin you know to make sure that they can have these engineered pre-engineered clouds set up so they can get the benefits of these clouds lower cost to serve you know in terms of highly efficient workload the fact as much as possible in the you know let me tell about of hardware that's available and at the same time the automation and the self-service that enables the agility so the development teams can build software quickly I think provision software really fast so those are the kind of benefits lower cost agility but in partnership jointly serving our customers RJ Singh senior vice president general manager of the VMware cloud management business unit thanks again for beyond the cube thank you Peter glad to be here Stu back to you all right thanks Peter for sharing that VMware perspective to help understand a little bit more some of the customer implications we're back with Dan and Pete Pete we talked about there's new management there's a few different software packages is this exclusively for the new generation of VX block 1000 or you know who the existing customers will be able to use this sure I mean obviously advanced management features are important to all of our customers so we specifically designed the Xbox central to run both on existing VX block customers and of course in our new VX blocks that were a lot of the factor as well alright so Dan we've talked about the progress we've made the the you know great maturation in these solutions set what's next what customers expect and what should we be looking for from Dellums in the future so this the thing with us is always data center operations simplification if you think about it what we're introducing today is all about simplifying and provisioning and management of the existing system within the system we've heard also from customers what they look for us next to do is to try to improve the upgrade process simplify that as well so we've already got some development efforts working on that we'll be excited and news for later this year or early next year janna follow-up went dance that we always talked to our customers about what they're looking for in addition to more automation and we're monitoring support they want to go to consume their resources in a more agile environment cloud like a farm and even on-premises so that combined with the be realized suite of products we're going to be providing more cloud live experience to our customers for their yeah walks in the future alright Pete and Dan thank you so much for sharing this news we're gonna now turn it over to the community so you've heard about the announcement we've been talking for quite a long time at wiki bond about how automation and tools are gonna hopefully help make your job easier so want you to dig in ask the questions what do you like what do you want to see more of and so everybody let's growl chat great

welcome to the cube I'm Lisa Martin with Keith Townsend and we are in Orlando sa piece sapphire now 2018 we're very proud to be in the NetApp booth now that sa very long standing partnership with sa PA welcome to Cuba thank you we're so glad you guys are here over a million people are expected to engage with the SH the experience both in person and online that's enormous yes sa P is the cash register of the world 70% of the world's transactions go through si people most of us don't see it a lot of the SI p products like Hybris like Arriba success factors are built on meta meta is 26 years young now and has undergone a big transformation from traditional storage company to more cloud we're gonna be now that data management company for hybrid clouds every customer has a different rate of motion to the cloud that's why we have to spend an awful lot of time listening to our customers don't and then talkative the c-level executives in the business side to say what are your what are your expectations about the technology right whether if the reduction of labor improved quality again overall equipment effectiveness and help them understand what the treaty chuckles on choice we're hearing for customers is I need choice I need to move my data around on-prem into whatever hyper hyper scalar environment you want fast efficient with analytics readouts everybody looks at their phone when we make a deposit we expect to see that deposit instantaneously right the business needs to operate just as instantaneously and a company like NetApp could build this data fabric to connect them seamlessly so that the customers have choice it's interaction of sensors and to way taking IOT data in and then also feeding it back into signals but that's part of the interface of the software people can deploy much more effectively with a lower skill set right so there's not that hurdle really allows the administrators to configure dream workspace where you can get all the data that you need to work with in one place takes all that noise and makes it into one screen so that you can just simply make and change the data the way you would expect to on a spreadsheet sa P is serious about this C for Hana move of being able to say you know what we are going to create an ecosystem of truck if you have a developer and your enterprise and you say you know what I'm a big sa p user but I actually want to develop a custom map or are there some things I might do then s ap makes available to Leonardo a machine learning foundation and you can take advantage of that and develop a customized again not just a products company but an ecosystem company on C sapphire in Orlando is a great example of how they're expanding the brand is that say P can't do everything so we work with a lot of specialists we were critiques we couldn't do this without hardware partners with storage Annette app has proven you know to be one of those partners that could deal with a myriad of data types from a myriad of applications that forces the stretch into voice recognition that voices the data mining and data analytics and the like augmented intelligence to augment humanity this connection of humans and machines working together they're doing all this genomic research personalized medicine for cancer patients throughout Europe using Hana I even know about it public safety if you could think about that that's a big thing to focus on thinking about using drones for first responders smart farming throughout all the Netherlands reducing pesticide use water usage dramatically down and they increased yields by 10% helping customers change their business change industries save lives pretty cool stuff yeah SAV has a little ways to go yet that that's kind of you talk to any HDI customer validated and certified for Hana is a bad word today but s ap understands it in their there they're moving to certify the pot platform for HDI so I thought that was a great example of them listening to customers and continuing to transform over the years we'd love to hear you know from customers hey can I eat with a buddy could I put this object you know on that object together and build a process basically there's almost everywhere place where the net up product will fit but again we have to make session where's the place to start step back and look at what perhaps other competitors have done in their space or in completely different industries are compared to making great content the cute makes great content that content would be found people will take notice you make a great product that impacts people's lives it's no wonder that s ap is near the top of that brand recognition brand value seventeenth on the list so if you want to become a leader or a thought leader in your own specific industry join the SMP HANA community make the investments in SP Leonardo work with SP work with net after and like Bill says let's get it done thank you all for being here we're a static for having the cube in our booth Lisa Martin with Keith Townsend on the cube from the net out booth at SVP sapphire now 2018 thanks for watching [Music]

>> Announcer: Live from midtown Manhattan, it's theCUBE covering Big Data New York City 2017. Brought to you by SiliconANGLE Media and it's ecosystem sponsors. (upbeat techno music) >> Hey, welcome back, everyone. Here live in New York City, this is theCUBE from SiliconANGLE Media Special. Exclusive coverage of the Big Data World at NYC. We call it Big Data NYC in conjunction also with Strata Hadoop, Strata Data, Hadoop World all going on kind of around the corner from our event here on 37th Street in Manhattan. I'm John Furrier, the co-host of theCUBE with Peter Burris, Head of Research at SiliconANGLE Media, and General Manager of WikiBon Research. And our next guest is one of our famous CUBE alumni, Prakash Nanduri co-founder and CEO of Paxata who launched his company here on theCUBE at our first inaugural Big Data NYC event in 2013. Great to see you. >> Great to see you, John. >> John: Great to have you back. You've been on every year since, and it's been the lucky charm. You guys have been doing great. It's not broke, don't fix it, right? And so theCUBE is working with you guys. We love having you on. It's been a pleasure, you as an entrepreneur, launching your company. Really, the entrepreneurial mojo. It's really what it's all about. Getting access to the market, you guys got in there, and you got a position. Give us the update on Paxata. What's happening? >> Awesome, John and Peter. Great to be here again. Every time I come here to New York for Strata I always look forward to our conversations. And every year we have something exciting and new to share with you. So, if you recall in 2013, it was a tiny little show, and it was a tiny little company, and we came in with big plans. And in 2013, I said, "You know, John, we're going to completely disrupt the way business consumers and business analysts turn raw data into information and they do self-service data preparation." That's what we brought to the market in 2013. Ever since, we have gone on to do something really exciting and new for our customers every year. In '14, we came in with the first Apache Spark-based platform that allowed business analysts to do data preparation at scale interactively. Every year since, last year we did enterprise grade and we talked about how Paxata is going to be delivering our self-service data preparation solution in a highly-scalable enterprise grade deployment world. This year, what's super exciting is in addition to the recent announcements we made on Paxata running natively on the Microsoft Azure HDI Spark system. We are truly now the only information platform that allows business consumers to turn data into information in a multi-cloud hybrid world for our enterprise customers. In the last few years, I came and I talked to you and I told you about work we're doing and what great things are happening. But this year, in addition to the super-exciting announcements with Microsoft and other exciting announcements that you'll be hearing. You are going to hear directly from one of our key anchor customers, Standard Chartered Bank. 150-year-old institution operating in over 46 countries. One of the most storied banks in the world with 87,500 employees. >> John: That's not a start up. >> That's not a start up. (John laughs) >> They probably have a high bar, high bar. They got a lot of data. >> They have lots of data. And they have chosen Paxata as their information fabric. We announced our strategic partnership with them recently and you know that they are going to be speaking on theCUBE this week. And what started as a little experiment, just like our experiment in 2013, has actually mushroomed now into Michael Gorriz, and Shameek Kundu, and the entire leadership of Standard Chartered choosing Paxata as the platform that will democratize information in the bank across their 87,500 employees. We are going in a very exciting way, a very fast way, and now delivering real value to the bank. And you can hear all about it on our website-- >> Well, he's coming on theCUBE so we'll drill down on that, but banks are changing. You talk about a transformation. What is a teller? An Internet of Things device. The watch potentially could be a terminal. So, the Internet of Things of people changes the game. Are the ATMs going to go away and become like broadcast points? >> Prakash: And you're absolutely right. And really what it is about is, it doesn't matter if you're a Standard Chartered Bank or if you're a pharma company or if you're the leading healthcare company, what it is is that everyone of our customers is really becoming an information-inspired business. And what we are driving our customers to is moving from a world where they're data-driven. I think being data-driven is fine. But what you need to be is information-inspired. And what does that mean? It means that you need to be able to consume data, regardless of format, regardless of source, regardless of where it's coming from, and turn it into information that actually allows you to get inside in decisions. And that's what Paxata does for you. So, this whole notion of being information-inspired, I don't care if you're a bank, if you're a car company, or if you're a healthcare company today, you need to have-- >> Prakash, for the folks watching that might not know our history as you launched on theCUBE in 2013 and have been successful every year since. You guys have really deploying the classic entrepreneurial success formula, be fast, walk the talk, listen to customers, add value. Take a minute quickly just to talk about what you guys do. Just for the folks that don't know you. >> Absolutely, let's just actually give it in the real example of you know, a customer like Standard Chartered. Standard Chartered operates in multiple countries. They have significant number of lines of businesses. And whether it's in risk and compliance, whether it is in their marketing department, whether it's in their corporate banking business, what they have to do is, a simple example could be I want to create a customer list to be able to go and run a marketing campaign. And the customer list in a particular region is not something easy for a bank like Standard Charter to come up with. They need to be able to pull from multiple sources. They need to be able to clean the data. They need to be able to shape the data to get that list. And if you look at what is really important, the people who understand the data are actually not the folks in IT but the folks in business. So, they need to have a tool and a platform that allows them to pull data from multiple sources to be able to massage it, to be able to clean it-- >> John: So, you sell to the business person? >> We sell to the business consumer. The business analyst is our consumer. And the person who supports them is the chief data officer and the person who runs the Paxata platform on their data lake infrastructure. >> So, IT sets the data lake and you guys just let the business guys go to town on the data. >> Prakash: Bingo. >> Okay, what's the problem that you solve? If you can summarize the problem that you solve for the customers, what is it? >> We take data and turn it into information that is clean, that's complete, that's consumable and that's contextual. The hardest problem in every analytical exercise is actually taking data and cleaning it up and getting it ready for analytics. That's what we do. >> It's the prep work. >> It's the prep work. >> As companies gain experience with Big Data, John, what they need to start doing increasingly is move more of the prep work or have more of the prep work flow closer to the analyst. And the reason's actually pretty simple. It's because of that context. Because the analyst knows more about what their looking for and is a better evaluator of whether or not they get what they need. Otherwise, you end up in this strange cycle time problem between people in back end that are trying to generate the data that they think they want. And so, by making the whole concept of data preparation simpler, more straight forward, you're able to have the people who actually consume the data and need it do a better job of articulating what they need, how they need it and making it presentable to the work that they're performing. >> Exactly, Peter. What does that say about how roles are starting to merge together? Cause you've got to be at the vanguard of seeing how some of these mature organizations are working. What do you think? Are we seeing roles start to become more aligned? >> Yes, I do think. So, first and foremost, I think what's happening is there is no such thing as having just one group that's doing data science and another group consuming. I think what you're going to be going into is the world of data and information isn't all-consuming and that everybody's role. Everybody has a role in that. And everybody's going to consume. So, if you look at a business analyst that was spending 80% of their time living in Excel or working with self-service BI tools like our partner's Tableau and Power BI from Microsoft, others. What you find is these people today are living in a world where either they have to live in coding scripting world hell or they have to rely on IT to get them the real data. So, the role of a business analyst or a subject matter expert, first and foremost, the fact that they work with data and they need information that's a given. There is no business role today where you can't deal with data. >> But it also makes them real valuable, because there aren't a lot of people who are good at dealing with data. And they're very, very reliant on these people to turn that data into something that is regarded as consumable elsewhere. So, you're trying to make them much more productive. >> Exactly. So, four years years ago, when we launched on theCUBE, the whole premise was that in order to be able to really drive towards a world where you can make information and data-driven decisions, you need to ensure that the business analyst community, or what I like to call the business consumer needs to have the power of being able to, A, get access to data, B, make sense of the data, and then turn that data into something that's valuable for her or for him. >> Peter: And others. >> And others, and others. Absolutely. And that's what Paxata is doing. In a collaborative, in a 21st Century world where I don't work in a silo, I work collaboratively. And then the tool, and the platform that helps me do that is actually a 21st Century platform. >> So, John, at the beginning of the session you and Jim were talking about what is going to be one of the themes here at the show. And we observed that it used to be that people were talking about setting up the hardware, setting up the clutters, getting Hadoop to work, and Jim talked about going up the stack. Well, this is one of the indicators that, in fact, people were starting to go up the stack because they're starting to worry more about the data, what it can do, the value of how it's going to be used, and how we distribute more of that work so that we get more people using data that's actually good and useful to the business. >> John: And drives value. >> And drives value. >> Absolutely. And if I may, just put a chronological aspect to this. When we launched the company we said the business analyst needs to be in charge of the data and turning the data into something useful. Then right at that time, the world of create data lakes came in thanks to our partners like Cloudera and Hortonworks, and others, and MapR and others. In the recent past, the world of moving from on premise data lakes to hybrid, multicloud data lakes is becoming reality. Our partners at Microsoft, at AWS, and others are having customers come in and build cloud-based data lakes. So, today what you're seeing is on one hand this complete democratization within the business, like at Standard Chartered, where all these business analysts are getting access to data. And on the other hand, from the data infrastructure moving into a hybrid multicloud world. And what you need is a 21st Century information management platform that serves the need of the business and to make that data relevant and information and ready for their consumption. While at the same time we should not forget that enterprises need governance. They need lineage. They need scale. They need to be able to move things around depending on what their business needs are. And that's what Paxata is driving. That's why we're so excited about our partnership with Microsoft, with AWS, with our customer partnerships such as Standard Chartered Bank, rolling this out in an enterprise-- >> This is a democratization that you were referring to with your customers. We see this-- >> Everywhere. >> When you free the data up, good things happen but you don't want to have IT be the constraint, you want to let them enable-- >> Peter: And IT doesn't want to be the constraint. >> They don't. >> This is one of the biggest problems that they have on a daily basis. >> They're happy to let it go free as long as it's in they're mind DevOps-like related, this is cool for them. >> Well, they're happy to let it go with policy and security in place. >> Our customers, our most strategic customers, the folks who are running the data lakes, the folks who are managing the data lakes, they are the first ones that say that we want business to be able to access this data, and to be able to go and make use out of this data in the right way for the bank. And not have us be the impediment, not have us be the roadblock. While at the same time we still need governance. We still need security. We still need all those things that are important for a bank or a large enterprise. That's what Paxata is delivering to the customers. >> John: So, what's next? >> Peter: Oh, I'm sorry. >> So, really quickly. An interesting observation. People talk about data being the new fuel of business. That really doesn't work because, as Bill Schmarzo says, it's not the new fuel of business, it's new sunlight of business. And the reason why is because fuel can only be used once. >> Prakash: That's right. >> The whole point of data is that it can be used a lot, in a lot of different ways, and a lot of different contexts. And so, in many respects what we're really trying to facilitate or if someone who runs a data lake when someone in the business asks them, "Well, how do you create value for the business?" The more people, the more users, the more context that they're serving out of that common data, the more valuable the resource that they're administering. So, they want to see more utilization, more contexts, more data being moved out. But again, governance, security have to be in place. >> You bet, you bet. And using that analogy of data, and I've heard this term about data being the new oil, etc. Well, if data is the oil, information is really the refined fuel or sunlight as we like to call it. >> Peter: Yeah. >> John: Well, you're riffing on semantics, but the point is it's not a one trick pony. Data is part of the development, I wrote a blog post in 1997, I mean 2007 that said data's the new development kit. And it was kind of riffing on this notion of the old days >> Prakash: You bet. >> Here's your development kit, SDK, or whatever was how people did things back then Enter the cloud, >> Prakash: That's right. >> And boom, there it is. The data now is in the process of the refinery the developers wanted. The developers want the data libraries. Whatever that means. That's where I see it. And that is the democratization where data is available to be integrated in to apps, into feeds, into ... >> Exactly, and so it brings me to our point about what was the exciting, new product innovation announcement we made today about Intelligent Ingest. You want to be able to access data in the enterprise regardless of where it is, regardless of the cloud where it's sitting, regardless of whether it's on-premise, in the cloud. You don't need to as a business worry about whether that is a JSON file or whether that's an XML file or that's a relational file. That's irrelevant. What you want is, do I have the access to the right data? Can I take that data, can I turn it into something valuable and then can I make a decision out of it? I need to do that fast. At the same time, I need to have the governance and security, all of that. That's at the end of the day the objective that our customers are driving towards. >> Prakash, thanks so much for coming on and being a great member of our community. >> Fantastic. >> You're part of our smart network of great people out there and entrepreneurial journey continues. >> Yes. >> Final question. Just observation. As you pinch yourself and you go down the journey, you guys are walking the talk, adding new products. We're global landscape. You're seeing a lot of new stuff happening. Customers are trying to stay focused. A lot of distractions whether security or data or app development. What's your state of the industry? How do you view the current market, from your perspective and also how the customer might see it from their impact? >> Well, the first thing is that I think in the last four years we have seen significant maturity both on the providers off software technology and solutions, and also amongst the customers. I do think that going forward what is really going to make a difference is one really driving towards business outcomes by leveraging data. We've talked about a lot of this over the last few years. What real business outcomes are you delivering? What we are super excited is when we see our customers each one of them actually subscribes to Paxata, we're a SAS company, they subscribe to Paxata not because they're doing the science experiment but because they're trying to deliver real business value. What is that? Whether that is a risk in compliance solution which is going to drive towards real cost savings. Or whether that's a top line benefit because they know what they're customer 360 is and how they can go and serve their customers better or how they can improve supply chains or how they can optimize their entire efficiency in the company. I think if you take it from that lens, what is going to be important right now is there's lots of new technologies coming in, and what's important is how is it going to drive towards those top three business drivers that I have today for the next 18 months? >> John: So, that's foundational. >> That's foundational. Those are the building blocks-- >> That's what is happening. Don't jump... If you're a customer, it's great to look at new technologies, etc. There's always innovation projects-- >> RND, GPOCs, whatever. Kick the tires. >> But now, if you are really going to talk the talk about saying I'm going to be, call your word, data-driven, information-driven, whatever it is. If you're going to talk the talk, then you better walk the walk by delivering the real kind of tools and capabilities that you're business consumers can adopt. And they better adopt that fast. If they're not up and running in 24 hours, something is wrong. >> Peter: Let me ask one question before you close, John. So, you're argument, which I agree with, suggests that one of the big changes in the next 18 months, three years as this whole thing matures and gets more consistent in it's application of the value that it generates, we're going to see an explosion in the number users of these types of tools. >> Prakash: Yes, yes. >> Correct? >> Prakash: Absolutely. >> 2X, 3X, 5X? What do you think? >> I think we're just at the cusp. I think is going to grow up at least 10X and beyond. >> Peter: In the next two years? >> In the next, I would give that next three to five years. >> Peter: Three to five years? >> Yes. And we're on the journey. We're just at the tip of the high curve taking off. That's what I feel. >> Yeah, and there's going to be a lot more consolidation. You're going to start to see people who are winning. It's becoming clear as the fog lifts. It's a cloud game, a scale game. It's democratization, community-driven. It's open source software. Just solve problems, outcomes. I think outcome is going to be much faster. I think outcomes as a service will be a model that we'll probably be talking about in the future. You know, real time outcomes. Not eight month projects or year projects. >> Certainly, we started writing research about outcome-based management. >> Right. >> Wikibon Research... Prakash, one more thing? >> I also just want to say that in addition to this business outcome thing, I think in the last five years I've seen a lot of shift in our customer's world where the initial excitement about analytics, predictive, AI, machine-learning to get to outcomes. They've all come into a reality that none of that is possible if you're not able to handle, first get a grip on your data, and then be able to turn that data into something meaningful that can be analyzed. So, that is also a major shift. That's why you're seeing the growth we're seeing-- >> John: Cause it's really hard. >> Prakash: It's really hard. >> I mean, it's a cultural mindset. You have the personnel. It's an operational model. I mean this is not like, throw some pixie dust on it and it magically happens. >> That's why I say, before you go into any kind of BI, analytics, AI initiative, stop, think about your information management strategy. Think about how you're going to democratize information. Think about how you're going to get governance. Think about how you're going to enable your business to turn data into information. >> Remember, you can't do AI with IA? You can't do AI without information architecture. >> There you go. That's a great point. >> And I think this all points to why Wikibon's research have all the analysts got it right with true private cloud because people got to take care of their business here to have a foundation for the future. And you can't just jump to the future. There's too much just to come and use a scale, too many cracks in the foundation. You got to do your, take your medicine now. And do the homework and lay down a solid foundation. >> You bet. >> All right, Prakash. Great to have you on theCUBE. Again, congratulations. And again, it's great for us. I totally have a great vibe when I see you. Thinking about how you launched on theCUBE in 2013, and how far you continue to climb. Congratulations. >> Thank you so much, John. Thanks, Peter. That was fantastic. >> All right, live coverage continuing day one of three days. It's going to be a great week here in New York City. Weather's perfect and all the players are in town for Big Data NYC. I'm John Furrier with Peter Burris. Be back with more after this short break. (upbeat techno music).

(upbeat electronic. music) >> Announcer: Live from Las Vegas, it's theCUBE covering VMworld 2017 brought to you by VMware and it's Ecosystem partners. >> Hi, I'm Stu Miniman here with Keith Townsend and you're watching theCUBE's broadcast of VMworld 2017. One of our guests earlier this week called this set the punk rock set and one of my guests here in a preview said that this is going to be the battle of the baldies (laughter) so I'm really happy to bring two leaders of two of the hottest topics being discussed this week, welcoming back to the program Dom Delfino of course representing NSX and Security at NSBU and Lee Caswell from the vSAN Team. Gentlemen, thanks so much for joining us. >> Stu, how are you, buddy? >> I'm doing phenomenal. Dom, are you making network great again, yet? >> It's fantastic again now. We're making network fantastic again. >> Yeah and I expected you to show up a little more bling because we were talking Silicon Valley. Your group is reaching the three commas of a billion dollars. >> Dom: That's right. >> So let's start there, NSE when it was bought a few years back, over a million dollars. SDN was something that we all in the networking world was talking about and things have changed. I don't hear SDN talked at this show, it's real customers, real deployments, pretty good scale. The interconnected fabric if you will for VM's cloud strategy. >> Yep, absolutely. So Stu, these major transformational shifts in the industry take time, right? You know, you're not going to undo what you've done for the last 25, 30 years in a month or a quarter or a year and I think what you saw initially was adoption of NSX or automation of network provisioning. Then what you saw second to that was microsegmentation as a defense in depth strategy for our customers and now you see the multi data center moving into the hybrid cloud. vRNI is a service, NSX is a service, App Defense, layering additional security capabilities on top of that and as our production customers sort of adopted it in the beachhead methodology operationalized it, you see additional follow on adoptions. We've got one customer running 18 data centers on NSX today so this is becoming more and more mainstream and as you look at our approach moving forward in terms of where we are and the software defines us in our journey, how that connects to our strategy for VMC on AWS or VMC on Blue Mix. You saw Agredo Apenzeller yesterday demonstrate crossed into Microsoft Azure. When was the last time you thought you'd see that at VMworld, huh? >> Hey Lee, I got to bring you in here. (laughter) It's funny, I've lived in the storage world. >> I thought this was a storage show. >> And now we're tech people throwing all these acronyms. >> I know, they're so excited. >> And you know because come on, NSX is not simple. Who's the one that's saving customers money so that they can buy all of these? >> NSX is a great value, but vSAN pays for the ride, right? >> Here we go, right? >> They do. We'll happily accept it. >> I mean, we're consolidating storage in a way that basically brings back the magic of consolidation, right? The first time you consolidated, people called it magic because you consolidated servers, bought shared storage and had money left over, right? Now we're doing the same thing again, right, with now storage, right? What's interesting is is this is a huge career path gain for the virtualization administrator. >> Wow, so talking about being disruptive, vSAN. You know, I've got to rib you guys a little bit at the dodge ball tournament benefiting Unoria, the vSAN team lost to the Dell EMC team, so. >> Can you imagine? And did you see how valiant we were? >> Dom: You guys fall hard. >> You fall hard. (laughter) >> You looked like you could have used a little youth on that team, by the way, Lee. >> So a lot of competition, you walked the show floor. >> Lee: Yeah. >> This, we usually call this storage world. I think it's fair to say it's HCI world now. >> Lee: It's amazing, right? >> How is vSAN fitting into the larger ecosystem? >> You know, we announced, Pat said we have over 10,000 customers now, right? And yet VMware has hundreds of thousands of customers right? So we're just getting started here and what you're finding is the two assets to bring to this party are a hypervisor or a server. >> Keith: Right. >> Right, you don't have either one of those, it's going to be very difficult because if you go back and you'll appreciate this, right? You remember a Type 2 hypervisor? >> Yep, vaguely. I almost wrote about it, like wait, they don't even exist anymore, do they? >> Well, Workstation still, right? If you start thinking, right, that was a hypervisor on a guest, right? And so what happened though, as soon as these XI came out, right, integrated the compelling performance advantages, the resource utilization and then the idea that hey, I got a common management through vCenter, right? That's what's playing right now is users are trying to find leverage and scale, how do I do that and that's where we've just seen a massive adoption of ECM. >> Alright, one of the reasons we brought the two of you together though is because while peanut butter and chocolate are great on their own, the cloud foundation. >> Dom: I have the whole sandwich now, Stu. >> Yes, yes, so you know Cloud Foundation, NSX might be the interconnective fabric between all of them. Cloud Foundation is that solution, there's a whole business unit, put that together and drive that, so talk about how you feed that solution, how that changes the way you think about it. >> Probably the most interesting thing and I've only had the vSAN team for six months but I think the most interesting thing for me and vSAN is it scales downmarket very well as well, so we have massive enterprise customers, right, who have large global deployments of vSAN but you can take vSAN, put it on three nodes and see value out of that, right? And I think when you look at, you know, this is the year of cloud reality I'm calling it now, Stu, right? That's what's happened here this weekend at VMworld. When you look at that I think the most fundamental thing the customers are taking out of this week is my private cloud has to be as good as the public cloud offering, okay? Now if you're a Fortune 1,000 customer you certainly have a lot of resources, a lot of talent, a lot of expertise, a lot of history, and potentially a lot of budget to throw at that problem. But if you're a mid-market customer, right? And you look at I need to build a private cloud that's fast and easy, right? Which was the two primary reasons to adopt public cloud, you have a good place to start with Cloud Foundation and I think it's just the beginning so you get vSphere, you get NSX, you get vSAN, and you get SDDC Manager to do life cycle management, certainly you could layer vRealize on top of that for automation, orchestration, provisioning and self service as well and it really allows everybody to start to take advantage of the capabilities that only existed in the major cloud providers before on-prem and their own data center so I think as you look at Cloud Foundation and I'm working very closely with John Gilmartin on this, moving forward, it is going to become the basic foundational element, pun intended, right, for many of the VMware offerings moving forward as we turn into next year, that we'd look at this very closely and we have a lot of plans as that being the base to build off of in terms of how we help our customers get to this private cloud. >> Lee, I need to hear your perspective because some of this Cloud Foundation, there's got to be some differences when you talk about some of the deployment models whether where I'm doing it, how I'm doing it, VMC, the VMware managed cloud I guess on AWS, VMware on AWS something getting a lot of buzz. You know, everybody's digging into to it. What's it do today, what's it going to do in the future? >> Well, you know I thought it was really impressive when Andy Jassy got up and basically said, "We've been faced with a minor choice." Customers want these to be integrated, right? And the second day was Google, right? Talking about how we're taking developer tools, right, and making them common, so that element. Now storage people think that the strategic engagement with the cloud is about data, right? >> Stu: Right. >> Putting a VM in the cloud, I mean that's a credit card transaction, but once you put your first byte of data into the cloud, now you take on sovereignty issues, you think about performance and where you're going to get guaranteed ihovs out of it. You start thinking about how am I going to move that data? It's not fast or free or as anyone who has emailed a video knows, right, so you start thinking that it's the data elements and now what's really powerful and we saw some of this in the demos in general session. Once you have a common data structure, we call it dSAN, right, all the way from the edge into the data center of virtual private cloud then into the public cloud, now I've got the opportunity to have this really flexible fluid system, right? All virtualized, it's so powerful, right? About how I can manage that and we think, it'll be interesting, does the virtualization administrator then become the cloud administrator, right? >> So then, let's expand that one, vSAN everywhere. vSAN in the AWS, vSAN in vCAN, vSAN in my own data center. How do I protect that data? That seems just, is this where NSX comes in? How do I protect that data? >> Can we let Lee talk the security first? >> Where's the security, is the security in vSAN? >> Cause I know Dom >> We'll let Lee go first and then I'll correct him, okay? (laughter) >> Well, I mean you start with a security like encryption on the data, right? I mean one of the things why vSAN's so portable is because there is no hardware dependency. I mean, we're using like all, we support all different servers, there's no proprietary cards or anything, right, to stick in these servers so we can go run that software wherever. Now, we're also then as a result doing software encryption with our latest release on 6.6 software encryption allows us to use common key management partners, right, and so we use those partners including iTrust, Vales, FlowMetric, and others and now you can have key management regardless of where your data resides, so we start there but then what customers say really quickly, right, is if I start moving something, they say, "NSX help me out, right?" >> So I think Lee took to a very critical part of it, the ability to encrypt that data at rest and you know, as it transits, there's really three elements to this, it's the data itself, which we say that 6.6 introduced, right, the ability to encrypt that data, microsegmentation and upcoming DNE to both protect and encrypt that data while it's in flight and now if you look at that App Defense strategy, right, it's to secure that data while it's being processed as well at the host level up at the application layer, so I think Stu this just continues to be a huge challenge for our customers. Particularly with the breeches, we saw what happened with Wannacry, with Pedia, with non-Pedia, the different versions of that, Electric Blue and all. >> Stop, you know, your boss who's on theCUBE on the other set right now said, "As an industry, we have failed you." Pat Gelson gave the keynote, so when we're solving it, you know we're going to have like next year I expect both of you to have this all fixed. >> One of these, you asked like with all the HCI enthusiasts that are out there in many companies, you know, how do we differentiate? Well, part of it is this is not just a drop in a little box, right, someplace, right? This is how do you go and modernize your data center, basically tie into the complete software stack and regardless of the timing in which you're going to go and deploy that, right, if you're going to deploy the full stack today, that's a VMware cloud foundation, awesome, if you want to go start with vSAN, great, and then add in other pieces, or you can start with NSX. In any event, the common management is the piece that we really think is going to go and set us apart, right, as a part of it's an infrastructure play, not just a point component. >> So? >> Hold on I want to let Don finish. >> Stu, I think three years ago if we sat down here and told you you're going to encrypt your software defined storage, in software, no hardware requirements, I probably would have said I was nuts for saying that and you definitely would have said I was nuts for saying that so this is critical and we are hyper-focused on solving this problem and what customers have to recognize is that you have to make some foundational architectural changes in order to fix this problem and if you don't it's not going away, it's only going to get worse. >> So, I took a peep in at FUTURE:NET. First off, VMware does an awesome job of this conference within a conference. >> Isn't it fun? >> It is fun, a little bit over my head at times, which we have to be getting that same reaction from the CIOs that this stuff even when we're taking stuff that we know very well, Vmware or vSphere, starting with that, adding on vSAN, again the conversation, Dom, we can encrypt at both network and compute and storage? That's a little deep, but now we're talking about this crosscloud conversation that FUTURE:NET is most definitely addressing. How is that conversation going with customers? Are they finally starting to get their arms around the complexity of the situation? >> Absolutely Keith, because when you look at our multi-data center functions of NSX that we introduced back in NSX 6.2 at VMworld two years ago, three years ago, I'm getting long in the tooth here, so I can't remember times anymore. Those were the foundational elements for the components of crosscloud today so many customers who started the NSX journey with one use case and one data center and expanded it horizontally and then down through a number of use cases and then across to another data center are already taking advantage of those crosscloud functionalities from private data center to private data center. Now we've just taken them and extended them into Google Cloud, Azure, and AWS as well. So the customers who've been on this journey with us from the beginning have seen this step by step and it doesn't really seem like a big leap to them already. Now obviously if you haven't been on that journey it seems like you know, hey can you guys really do this and yeah, we've been doing it from private data center to private data center, now we're just bringing that capability to public data center and certainly the partnership with Amazon is a tremendous help to that as well. >> Yeah, when customers are buying into these solutions, and I know you like to look at it as a platform, so let's look out a little bit. I want you to talk a little bit about what we should expect from the future, if it makes edge computing kind of IoT is a big one, I have to expect that both of you have a play there, so? >> I guess I'll touch on that in two pieces so you sort of see us extending this up a little bit initially with PKS with pivotal container services, with Kubernetes on BOSH and the ability to do rolling upgrades and NSX is embedded in that solution, right, it's not a built-on offering, it's natively part of that for all the reasons that we talked about earlier and we see a lot of opportunities as it relates to edge computing, right, and I think this is something that, wasn't it file computing like seven years ago, Stu? >> Your former employer was one that was pushing that. >> Dom: Oh okay, yeah what happened to that? >> Yeah I have heard it come back from data center to cloud. >> I'm just needling you Stu, we didn't need to get into that. >> But you know, terminology does matter, but I hear your point. >> So I think A. IoT is the biggest security challenge that we face, right? >> Stu: Yep. >> That's number one. If you think it's bad now it's about to get a lot worse with the wholesale adoption of IoT. I think that when you look at the remote office, the branch office, what's going on with the transition with wide area networking right now, I think there's a tremendous opportunity there. Clearly we have a play where you can provide sort of a branch in a box with our technology but I think there's a lot of things you'll see coming from us in the near term as far as innovation that we can do there to really enhance edge computing as it relates to IoT and certainly our user computing platform with Horizon Air of the Legacy AirWatch venture, is an important part of securing those edge devices as well. >> Lee? >> On the vSAN side, this week we announced the HDI Acceleration Kit and that's basically a way to take advantage of single socket servers, right? And one of the things we're seeing for bandwidth reasons and economics you don't want to have everything centralized so the ability, particularly in an IoT environment, but also in retail or robo, if you've got hundreds of stores there's no way to put a sandbox and a fiber channel switch in separate storage and scale that, right? So what we're doing is we've got a very cost-effective license, right, incredible where you can get with hardware now, you can go and drop in a three node fully configured vSAN plus vSphere for under 25K. Drop it in, now you've got a virtualized environment, unlimited VMs, this sort of thing where we're helping basically bring the accelerating the adoption using HDI of enterprise modern infrastructure outside the data center. >> So last question around customer adoption and again, assessments of this model. The push, I think 816Z said that the edge is going to eat loud computing. Where do you guys see in the real world, the ground, is it a push towards the cloud or is it this combination of doing? >> In my experience, right and this is like an accordion, right, it goes in, it goes out it goes in, it goes out, why? Well it goes in and out based on economics and bandwidth. Right, so you start looking and saying, now until HDI came out, it just wasn't really feasible to put enterprise infrastructure at the edge, right? >> Keith: Right. >> So things were centralized, right? Well now, right, now we start distributing again, right? The cloud is an example of more centralized, right? But I think we're going to see both, right? And you're going to see this what's particularly interesting right now is right, the new advances in media, CPUS, low-latency networks makes it possible to use these I call it the serverization of storage, but really it's a serverization of the modern data center, right, and which by the way is common to how clouds are built. >> But does that mean the overall IT management or complex, as I build it out that control plane. >> I'll give you an example from this morning. I was meeting with one of the largest banks, right? And they were looking at HDI, they've used a lot of stance ORKS in the past and do you know what he asked at the end? "Could you give me the ORK charts of customers "in my scale who are using HDI?" >> Stu: Yeah. >> Because I want to go figure out how I hyper-converge my team. We'll never be fast until we go and get teams that are working more closely together where they start from the VM level and then they look at the network attributes and the storage attributes and the compute attributes. That's going to speed up everything. >> And I think Lee is 100% spot on there and every customer I've talked to this week, you have to make the transition to an infrastructure team, not a network team, a storage team, a security team, you're an infrastructure team, and this is why the app developers have been going around you, right? And this is why you have Shadow IT, it's because they want fast and simple and they don't want to have to deal with four different people, right? They don't want to have to deal with a serialization of a deployment that they're left waiting for the lag for and I think in terms of the edge computing, I think you related it to one of the conversations by Andreessen Horowitz. I think that might differ a little bit in the consumer space and in the enterprise space as well so it may be the case in the consumer space that it erodes some functionality from the cloud, particularly on the IoT side of things as well, driverless cars and things of that nature where it makes sense that if you get disconnected that you still need to have some computing capacity so you don't crash, right Lee? Crashing is not good. But I think the behavioral change, the people change, the mindset change is much more challenging than the technological change. Everything you haven't done before seems complicated until you actually do it, right? >> Alright well, we talked a lot to customers. Actually some of that organizational change is helping them to tackle things like those new architectures. Security is one that is I've been leaving it for too long and now absolutely front of the table. Don Delfino, Lee Caswell, always a pleasure to catch up with both you. >> Always a pleasure. >> Hope it lived up to your expectations that we brought the heat. Keith Townsend, I'm Stu Miniman. You're watching theCUBE, back with lots more coverage here from VMworld 2017. Thank you for watching the CUBE. (light electronic music)

>> Announcer: Live from San Jose, in the heart of Silicon Valley, it's theCUBE covering DataWorks Summit 2017. Brought to you by Hortonworks. >> Good morning, welcome to theCUBE. We are live at day 2 of the DataWorks Summit, and have had a great day so far, yesterday and today, I'm Lisa Martin with my co-host George Gilbert. George and I are very excited to be joined by a multiple CUBE alumni, the co-founder and VP of Engineering at Hortonworks Arun Murthy. Hey, Arun. >> Thanks for having me, it's good to be back. >> Great to have you back, so yesterday, great energy at the event. You could see and hear behind us, great energy this morning. One of the things that was really interesting yesterday, besides the IBM announcement, and we'll dig into that, was that we had your CEO on, as well as Rob Thomas from IBM, and Rob said, you know, one of the interesting things over the last five years was that there have been only 10 companies that have beat the S&P 500, have outperformed, in each of the last five years, and those companies have made big bets on data science and machine learning. And as we heard yesterday, these four meta-trains IoT, cloud streaming, analytics, and now the fourth big leg, data science. Talk to us about what Hortonworks is doing, you've been here from the beginning, as a co-founder I've mentioned, you've been with Hadoop since it was a little baby. How is Hortonworks evolving to become one of those big users making big bets on helping your customers, and yourselves, leverage machine loading to really drive the business forward? >> Absolutely, a great question. So, you know, if you look at some of the history of Hadoop, it started off with this notion of a data lake, and then, I'm talking about the enterprise side of Hadoop, right? I've been working for Hadoop for about 12 years now, you know, the last six of it has been as a vendor selling Hadoop to enterprises. They started off with this notion of data lake, and as people have adopted that vision of a data lake, you know, you bring all the data in, and now you're starting to get governance and security, and all of that. Obviously the, one of the best ways to get value over the data is the notion of, you know, can you, sort of, predict what is going to happen in your world of it, with your customers, and, you know, whatever it is with the data that you already have. So that notion of, you know, Rob, our CEO, talks about how we're trying to move from a post-transactional world to a pre-transactional world, and doing the analytics and data sciences will be, obviously, with me. We could talk about, and there's so many applications of it, something as similar as, you know, we did a demo last year of, you know, of how we're working with a freight company, and we're starting to show them, you know, predict which drivers and which routes are going to have issues, as they're trying to move, alright? Four years ago we did the same demo, and we would say, okay this driver has, you know, we would show that this driver had an issue on this route, but now, within the world, we can actually predict and let you know to take preventive measures up front. Similarly internally, you know, you can take things from, you know, mission-learning, and log analytics, and so on, we have a internal problem, you know, where we have to test two different versions of HDP itself, and as you can imagine, it's a really, really hard problem. We have the support, 10 operating systems, seven databases, like, if you multiply that matrix, it's, you know, tens of thousands of options. So, if you do all that testing, we now use mission-learning internally, to look through the logs, and kind of predict where the failures were, and help our own, sort of, software engineers understand where the problems were, right? An extension of that has been, you know, the work we've done in Smartsense, which is a service we offer our enterprise customers. We collect logs from their Hadoop clusters, and then they can actually help them understand where they can either tune their applications, or even tune their hardware, right? They might have a, you know, we have this example I really like where at a really large enterprise Financial Services client, they had literally, you know, hundreds and, you know, and thousands of machines on HDP, and we, using Smartsense, we actually found that there were 25 machines which had bad NIC configuration, and we proved to them that by fixing those, we got a 30% to put back on their cluster. At that scale, it's a lot of money, it's a lot of cap, it's a lot of optics So, as a company, we try to ourselves, as much as we, kind of, try to help our customers adopt it, that make sense? >> Yeah, let's drill down on that even a little more, cause it's pretty easy to understand what's the standard telemetry you would want out of hardware, but as you, sort of, move up the stack the metrics, I guess, become more custom. So how do you learn, not just from one customer, but from many customers especially when you can't standardize what you're supposed to pull out of them? >> Yeah so, we're sort of really big believers in, sort of, doctoring your own stuff, right? So, we talk about the notion of data lake, we actually run a Smartsense data lake where we actually get data across, you know, the hundreds of of our customers, and we can actually do predictive mission-learning on that data in our own data lake. Right? And to your point about how we go up the stack, this is, kind of, where we feel like we have a natural advantage because we work on all the layers, whether it's the sequel engine, or the storage engine, or, you know, above and beyond the hardware. So, as we build these models, we understand that we need more, or different, telemetry right? And we put that back into the product so the next version of HDP will have that metrics that we wanted. And, now we've been doing this for a couple of years, which means we've done three, four, five turns of the crank, obviously something we always get better at, but I feel like, compared to where we were a couple of years ago when Smartsense first came out, it's actually matured quite a lot, from that perspective. >> So, there's a couple different paths you can add to this, which is customers might want, as part of their big data workloads, some non-Hortonworks, you know, services or software when it's on-prem, and then can you also extend this management to the Cloud if they want to hybrid setup where, in the not too distant future, the Cloud vendor will be also a provider for this type of management. >> So absolutely, in fact it's true today when, you know, we work with, you know, Microsoft's a great partner of ours. We work with them to enable Smartsense on HDI, which means we can actually get the same telemetry back, whether you're running the data on an on-prem HDP, or you're running this on HDI. Similarly, we shipped a version of our Cloud product, our Hortonworks Data Cloud, on Amazon and again Smartsense preplanned there, so whether you're on an Amazon, or a Microsoft, or on-prem, we get the same telemetry, we get the same data back. We can actually, if you're a customer using many of these products, we can actually give you that telemetry back. Similarly, if you guys probably know this we have, you were probably there in an analyst when they announced the Flex Support subscription, which means that now we can actually take the support subscription you have to get from Hortonworks, and you can actually use it on-prem or on the Cloud. >> So in terms of transforming, HDP for example, just want to make sure I'm understanding this, you're pulling in data from customers to help evolve the product, and that data can be on-prem, it can be in a Microsoft lesur, it can be an AWS? >> Exactly. The HDP can be running in any of these, we will actually pull all of them to our data lake, and they actually do the analytics for us and then present it back to the customers. So, in our support subscription, the way this works is we do the analytics in our lake, and it pushes it back, in fact to our support team tickets, and our sales force, and all the support mechanisms. And they get a set of recommendations saying Hey, we know this is the work loads you're running, we see these are the opportunities for you to do better, whether it's tuning a hardware, tuning an application, tuning the software, we sort of send the recommendations back, and the customer can go and say Oh, that makes sense, the accept that and we'll, you know, we'll update the recommendation for you automatically. Then you can have, or you can say Maybe I don't want to change my kernel pedometers, let's have a conversation. And if the customer, you know, is going through with that, then they can go and change it on their own. We do that, sort of, back and forth with the customer. >> One thing that just pops into my mind is, we talked a lot yesterday about data governance, are there particular, and also yesterday on stage were >> Arun: With IBM >> Yes exactly, when we think of, you know, really data-intensive industries, retail, financial services, insurance, healthcare, manufacturing, are there particular industries where you're really leveraging this, kind of, bi-directional, because there's no governance restrictions, or maybe I shouldn't say none, but. Give us a sense of which particular industries are really helping to fuel the evolution of Hortonworks data lake. >> So, I think healthcare is a great example. You know, when we started off, sort of this open-source project, or an atlas, you know, a couple of years ago, we got a lot of traction in the healthcare sort of insurance industry. You know, folks like Aetna were actually founding members of that, you know, sort of consortium of doing this, right? And, we're starting to see them get a lot of leverage, all of this. Similarly now as we go into, you know, Europe and expand there, things like GDPR, are really, really being pardoned, right? And, you guys know GDPR is a really big deal. Like, you pay, if you're not compliant by, I think it's like March of next year, you pay a portion of your revenue as fines. That's, you know, big money for everybody. So, I think that's what we're really excited about the portion with IBM, because we feel like the two of us can help a lot of customers, especially in countries where they're significantly, highly regulated, than the United States, to actually get leverage our, sort of, giant portfolio of products. And IBM's been a great company to atlas, they've adopted wholesale as you saw, you know, in the announcements yesterday. >> So, you're doing a Keynote tomorrow, so give us maybe the top three things, you're giving the Keynote on Data Lake 3.0, walk us through the evolution. Data Lakes 1.0, 2.0, 3.0, where you are now, and what folks can expect to hear and see in your Keynote. >> Absolutely. So as we've, kind of, continued to work with customers and we see the maturity model of customers, you know, initially people are staying up a data lake, and then they'd want, you know, sort of security, basic security what it covers, and so on. Now, they want governance, and as we're starting to go to that journey clearly, our customers are pushing us to help them get more value from the data. It's not just about putting the data lake, and obviously managing data with governance, it's also about Can you help us, you know, do mission-learning, Can you help us build other apps, and so on. So, as we look to there's a fundamental evolution that, you know, Hadoop legal system had to go through was with advance of technologies like, you know, a Docker, it's really important first to help the customers bring more than just workloads, which are sort of native to Hadoop. You know, Hadoop started off with MapReduce, obviously Spark's went great, and now we're starting to see technologies like Flink coming, but increasingly, you know, we want to do data science. To mass market data science is obviously, you know, people, like, want to use Spark, but the mass market is still Python, and R, and so on, right? >> Lisa: Non-native, okay. >> Non-native. Which are not really built, you know, these predate Hadoop by a long way, right. So now as we bring these applications in, having technology like Docker is really important, because now we can actually containerize these apps. It's not just about running Spark, you know, running Spark with R, or running Spark with Python, which you can do today. The problem is, in a true multi-tenant governed system, you want, not just R, but you want specifics of a libraries for R, right. And the libraries, you know, George wants might be completely different than what I want. And, you know, you can't do a multi-tenant system where you install both of them simultaneously. So Docker is a really elegant solution to problems like those. So now we can actually bring those technologies into a Docker container, so George's Docker containers will not, you know, conflict with mine. And you can actually go to the races, you know after the races, we're doing data signs. Which is really key for technologies like DSX, right? Because with DSX if you see, obviously DSX supports Spark with technologies like, you know, Zeppelin which is a front-end, but they also have Jupiter, which is going to work the mass market users for Python and R, right? So we want to make sure there's no friction whether it's, sort of, the guys using Spark, or the guys using R, and equally importantly DSX, you know, in the short map will also support things like, you know, the classic IBM portfolio, SBSS and so on. So bringing all of those things in together, making sure they run with data in the data lake, and also the computer in the data lake, is really big for us. >> Wow, so it sounds like your Keynote's going to be very educational for the folks that are attending tomorrow, so last question for you. One of the themes that occurred in the Keynote this morning was sharing a fun-fact about these speakers. What's a fun-fact about Arun Murthy? >> Great question. I guess, you know, people have been looking for folks with, you know, 10 years of experience on Hadoop. I'm here finally, right? There's not a lot of people but, you know, it's fun to be one of those people who've worked on this for about 10 years. Obviously, I look forward to working on this for another 10 or 15 more, but it's been an amazing journey. >> Excellent. Well, we thank you again for sharing time again with us on theCUBE. You've been watching theCUBE live on day 2 of the Dataworks Summit, hashtag DWS17, for my co-host George Gilbert. I am Lisa Martin, stick around we've got great content coming your way.