>>Hey everyone. Welcome back to the Cube's live coverage of snowflake summit 22 live from Las Vegas. Caesar's forum. Lisa Martin here with Dave Valante. We've got a couple of guests here. We're gonna be talking about every day. AI. You wanna know what that means? You're in the right spot. Kurt UL joins us, the chief customer officer at data ICU and the mod Conn, the head of AI and ML strategy at snowflake guys. Great to have you on the program. >>It's wonderful to be here. Thank you so much. >>So we wanna understand Kurt what everyday AI means, but before we do that for the audience who might not be familiar with data, I could give them a little bit of an overview. What about what you guys do your mission and maybe a little bit about the partnership? >>Yeah, great. Uh, very happy to do so. And thanks so much for this opportunity. Um, well, data IKU, we are a collaborative platform, uh, for enterprise AI. And what that means is it's a software, you know, that sits on top of incredible infrastructure, notably snowflake that allows people from different backgrounds of data, analysts, data, scientists, data, engineers, all to come together, to work together, to build out machine learning models and ultimately the AI that's gonna be the future, uh, of their business. Um, and so we're very excited to, uh, to be here, uh, and you know, very proud to be a, a, a very close partner of snowflake. >>So Amad, what is Snowflake's AI strategy? Is it to, is it to partner? Where do, where do you pick up? And Frank said today, we, we're not doing it all. Yeah. The ecosystem by design. >>Yeah. Yeah, absolutely. So we believe in the best of breed look. Um, I think, um, we, we think that we're the best data platform and for data science and machine learning, we want our customers to really use the best tool for their use cases. Right. And, you know, data ICU is, is our leading partner in that space. And so, you know, when, when you talk about, uh, machine learning and data science, people talk about training a model, but it's really the difficult part and challenges are really, before you train the model, how do you get access to the right data? And then after you train the model, how do you then run the model? And then how do you manage the model? Uh, that's very, very important. And that's where our partnership with, with data, uh, IKU comes in place. Snowflake provides the platform that can process data at scale for the pre-processing bit and, and data IKU comes in and really, uh, simplifies the process for deploying the models and managing the model. >>Got it. Thank >>You. You talk about KD data. Aico talks about everyday AI. I wanna break that down. What do you mean by that? And how is this partnership with snowflake empowering you to deliver that to companies? >>Yeah, absolutely. So everyday AI for us is, uh, you know, kind of a future state that we are building towards where we believe that AI will become so pervasive in all of the business processes, all the decision making that organizations have to go through that it's no longer this special thing that we talk about. It's just the, the day to day life of, uh, of our businesses. And we can't do that without partners like snowflake and, uh, because they're bringing together all of that data and ensuring that there is the, uh, the computational horsepower behind that to drive that we heard that this morning in some of the keynote talking about that broad democratization and the, um, let's call it the, uh, you know, the pressure that that's going to put on the underlying infrastructure. Um, and so ultimately everyday AI for us is where companies own that AI capability. They're building it themselves very broad, uh, participation in the development of that. And all that work then is being pushed down into best of breed, uh, infrastructure, notably of course, snowflake. Well, >>You said push down, you, you guys, you there's a term in the industry push down optimization. What does that mean? How is it evolving? Why is it so important? >>So Amma, do you want to take a first step at that? >>Yeah, absolutely. So, I mean, when, when you're, you know, processing data, so saying data, um, before you train a, uh, a model, you have to do it at scale, that that, that data is, is coming from all different sources. It's human generated machine generated data, we're talking millions and billions of rows of data. Uh, and you have to make sense of it. You have to transform that data into the right kind of features into the right kind of signals that inform the machine learning model that you're trying to, uh, train. Uh, and so that's where, you know, any kind of large scale data processing is automatically pushed down by data IQ, into snowflakes, scalable infrastructure. Um, so you don't get into like memory issues. You don't get into, um, uh, situations where you're where your pipeline is running overnight, and it doesn't finish in time. Right? And so, uh, you can really take advantage of the scalable nature of cloud computing, uh, using Snowflake's infrastructure. So a lot of that processing is actually getting pushed down from data I could down into the scalable snowflake compute engine. How >>Does this affect the life of a data scientist? You always hear a data scientist spend 80% of the time wrangling data. Uh, I presume there's an infrastructure component around that you trying, we heard this morning, you're making infrastructure, my words, infrastructure, self serve, uh, does this directly address that problem and, and talk about that. And what else are you doing to address that 80% problem? >>It, it certainly does, right? Uh, that's how you solve for, uh, data scientists needing to have on demand access to computing resources, or of course, to the, uh, to the underlying data, um, is by ensuring that that work doesn't have to run on their laptop, doesn't have to run on some, you know, constrained, uh, physical machines, uh, in, in a data center somewhere. Instead it gets pushed down into snowflake and can be executed at scale with incredible parallelization. Now what's really, uh, I important is the ongoing development, uh, between the two products, uh, and within that technology. And so today snowflake, uh, announced the introduction of Python within snow park, um, which is really, really exciting, uh, because that really opens up this capability to a much wider audience. Now DataCo provides that both through a visual interface, um, in historically, uh, since last year through Java UDFs, but that's kind of the, the two extremes, right? You have people who don't code on one side, you know, very no code or a low code, uh, population, and then a very high code population. On the other side, this Python, uh, integration really allows us to, to touch really kind the, the fat center of the data science population, who, uh, who, for whom, you know, Python really is the lingua franca that they've been learning for, uh, for decades now. Sure. So >>Talking about the data scientist, I wanna elevate that a little bit because you both are enterprise customers, data ICO, and snowflake Kurt as the chief customer officer, obviously you're with customers all the time. If we look at the macro environment of all the challenges, companies have to be a data company these days, if you're not, you're not gonna be successful. It's how do we do that? Extract insights, value, action, take it. But I'm just curious if your customer conversations are elevating up to the C-suite or, or the board in terms of being able to get democratize access to data, to be competitive, new products, new services, we've seen tremendous momentum, um, on, on the, the part of customer's growth on the snowflake side. But what are you hearing from customers as they're dealing with some of these current macro pains? >>Yeah, no, I, I think it is the conversation today, uh, at that sea level is not only how do we, you know, leverage, uh, new infrastructure, right. You know, they they're, you know, most of them now are starting to have snowflake. I think Frank said, uh, you know, 50% of the, uh, fortune 500, so we can say most, um, have that in place. Um, but now the question is, how do we, how do we ensure that we're getting access to that data, to that, to that computational horsepower, to a broader group of people so that it becomes truly a transformational initiative and not just an it initiative, not just a technology initiative, but really a core business initiative. And that, that really has been a pivot. You know, I've been, you know, with my company now for almost eight years, right. Uh, and we've really seen a change in that discussion going from, you know, much more niche discussions at the team or departmental level now to truly corporate strategic level. How do we build AI into our corporate strategy? How do we really do that in practice? And >>We hear a lot about, Hey, I want to inject data into apps, AI, and machine intelligence into applications. And we've talked about, those are separate stacks. You got the data stack and analytics stack over here. You got the application development, stack the databases off in the corner. And so we see you guys bringing those worlds together. And my question is, what does that stack look like? I took a snapshot. I think it was Frank's presentation today. He had infrastructure at the lowest level live data. So infrastructure's cloud live data. That's multiple data sources coming in workload execution. You made some announcements there. Mm-hmm, <affirmative>, uh, to expend expand that application development. That's the tooling that is needed. Uh, and then marketplace, that's how you bring together this ecosystem. Yes. Monetization is how you turn data into data products and make money. Is that the stack, is that the new stack that's emerging here? Are you guys defining that? >>Absolutely. Absolutely. You talked about like the 80% of the time being spent by data scientists and part of that is actually discovering the right data. Right. Um, being able to give the right access to the right people and being able to go and discover that data. And so you, you, you go from that angle all the way to processing, training a model. And then all those predictions that are insights that are coming out of the model are being consumed downstream by data applications. And so the two major announcements I'm super excited about today is, is the ability to run Python, which is snow park, uh, in, in snowflake. Um, that will do, you know, you can now as a Python developer come and bring the processing to where the data lives rather than move the data out to where the processing lives. Right. Um, so both SQL developers, Python developers, fully enabled. Um, and then the predictions that are coming out of models that are being trained by data ICU are then being used downstream by these data applications for most of our customers. And so that's where number, the second announcement with streamlet is super exciting. I can write a complete data application without writing a single line of JavaScript CSS or HTML. I can write it completely in Python. It's it makes me super excited as, as a Python developer, myself >>And you guys have joint customers that are headed in this direction, doing this today. Where, where can you talk about >>That? Yeah, we do. Uh, you know, there's a few that we're very proud of. Um, you know, company, well known companies like, uh, like REI or emeritus. Um, but one that was mentioned today, uh, this morning by Frank again, uh, Novartis, uh, pharmaceutical company, you know, they have been extremely successful, uh, in accelerating their AI and ML development by expanding access to their data. And that's a combination of, uh, both the data ICU, uh, layer, you know, allowing for that work to be developed in that, uh, in that workspace. Um, but of course, without, you know, the, the underlying, uh, uh, platform of snowflake, right, they, they would not have been able to, to have re realized those, uh, those gains. And they were talking about, you know, very, very significant increases in inefficiency everything from data access to the actual model development to the deployment. Um, it's just really, really honestly inspiring to see. >>And it was great to see Novartis mentioned on the main stage, massive time to value there. We've actually got them on the program later this week. So that was great. Another joint customer, you mentioned re I we'll let you go, cuz you're off to do a, a session with re I, is that right? >>Yes, that's exactly right. So, uh, so we're going to be doing a fireside chat, uh, talking about, in fact, you know, much of the same, all of the success that they've had in accelerating their, uh, analytics, workflow development, uh, the actual development of AI capabilities within, uh, of course that, uh, that beloved brand. >>Excellent guys, thank you so much for joining Dave and me talking about everyday AI, what you're doing together, data ICO, and snowflake to empower organizations to actually achieve that and live it. We appreciate your insights. Thank you both. You guys. Thank you for having us for our guests and Dave ante. I'm Lisa Martin. You're watching the Cube's live coverage of snowflake summit 22 from Las Vegas. Stick around our next guest joins us momentarily.

from the cube Studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation hi I'm Stu mana man and welcome to a special cube conversation talking to leaders around the globe happy to welcome to the program two guests actually one is a cube alumni the other one I believe the first time on the program the Khan brothers I have a mirror and on TIFF so gentlemen thanks so much for joining us oh thank you for having us again yeah so here you know you and your brother you're coming out of stealth al Kyra is the company you two both work together at many companies we know you most recently from Katella we're a mirror you know we've spoken with you on the cube I believe right after that acquisition proc it was another company back in the day also happened to sell to Cisco but we know that you know networking is one of the you know toughest things in our industry now everybody thinks that their environment is is something challenging but you know we know networking in the weeds there's so many protocols and while networking as a whole doesn't change really fast there have been a lot of waves of change happening most recently of course cloud having a major impact on what's happening to the networking world Amir let's start with you you're the CEO your brother a tip is the CTO you're both co-founders give us a little bit of the background and the why of Al Kyra yes but after we sold patella I was looking for the next idea and we talked to multiple customers and multiple service providers a common theme that came across was the cloud networking was complex and when it came to multiple clouds it became exponentially complex it was not only learning multiple clouds but all the underlying constructs were different in each one of us so we decided that we need to take a look at a common solution which provides one way of connecting to all clouds that exist out there and provides common services like firewall and then from the governance perspective it becomes very challenging if you have very diverse environments so we are bringing analytics a common way of monitoring and managing the networks on top of that so it's a very comprehensive solution that the industry needed and they needed it as a service so we we dug deeper and came up with this idea went to the VCS and got funded very quickly to solve the problem and very proud to say that we are the first ones were in the industry for bringing computer networking as a service for multi cloud environments to the market all right now that's a that's a big vision and definitely something you know we hear from talking to customers you know absolutely multi-cloud most of the people there trying to figure out exactly what that means to their cuspid to their companies as well as it is not simple today aught if I want to pull you in you know we've seen you know many you know groups of talented you know development engine developers and engineers sometimes they try Ville in packs so when you look at you know what Amir just talked about the challenge in front of you give our audience a little bit of the understanding of you know the history of what you've been working on and is this you know a you know just turning the crank based on the latest and greatest technologies is that the coming together of some of the pieces that you've been thinking about for many years you know help us under the hood a little bit as to you know that this problem and the talents and what you're moving forward with for the last many many years both Amma and myself and other team are other team members we've been working on large customer networks whether those are service provider networks or whether those are enterprise networks so we have a deep understanding of the challenges they have based over over time so and now as I mentioned customers are transitioning to public clouds they are transitioning to SAS environments and there are a lot of challenges with which they are running into so we decided to take this challenge on and we brought together like a stellar team we have people who joined us from from botella as well as people from other large organizations they've been working on we have people from AWS we have people from Azure via people from other large companies so we have put together a great team we are very well funded and as I mentioned our approach has always always been to work with customers always understand their pain points and solve the real issues which which are having so that's approach we took and that's what we are doing here Adele here yeah so I did if I want to dig down a little bit more and actually we've got a slide I think you'll talk to because we know in networking a lot of the words sound the same you know is this an overlay I'm your said that at the service what gets deployed where is it what are the customers need to do where does this all live so if you could explain this this this diagram here for our audience so what the buildings do is a is a service and it's a cloud services exchange if you look at it and what it is comprised off is east cloud exchange points you can think of these as virtual pops and virtual polos and you can you can decide which region in the world or on the globe you want the DC X is to be spun up you come to our portal since it's consumed as a service you decide like what needs to reside on the CX PS which networking services you need there you can bring your own services or you can consume LTS services and when I talk about services or when I say services these can mean security services other networking services such as load balancers ipam DDI whatnot from the EC XPS you're gonna connect to multiple pounds from here without you as as Enterprise know without you knowing need to know anything about the underlying cloud providers networking concerts so all you do is you give us the requirements you say that you need to connect to this cloud this this is your appointment and we we do it for you so what basically what we are doing is we are virtualizing the clouds networks it's a so in the past we virtualize the when in our previous company and patella if you look at it it's virtualizing plan over different types of transports here we are virtualizing cloud it doesn't matter which public clouds you're sitting on which public cloud you need to connect to you know one service to consume you know one way of doing about networking great III that diagram definitely helped me a lot Amir let's talk my understanding you've got some customers what are some of the early things that they're using this for is this you know hybrid cloud going from their data center to a public cloud we talked about multi cloud does that mean we're actually connecting services between some of the public clouds help us understand what what your customers are seeing and starting to use it's a very interesting questions too we've been talking to multiple customers that we said and without a doubt every single customer that we are talking to has some sort of a multi cloud strategy and the reasons for them to get into multiple clouds could be either their some teams are using some applications which are optimized for a particle cloud one of the customers that we went to they were using one cloud and then acquired a company because of which you know another cloud was brought into the environment so all of a sudden they have a need to very quickly you know integrate those two environments and then there are you know with what's going on in the market today people are going to remote access requirements you know people are working from home and they need to get onto the network very quickly and consume applications which scale much better in the cloud so there's a demand from that perspective right so and in some cases one company becomes let's say Amazon becomes a competitor somewhere and people want to move to another cloud that could be another alternative right so so without fail many people are you know getting into cloud environments and the primary reason that I'm hearing now that many more companies will move into the cloud is going to be regulatory issues right so people are starting to think about pushing all the financial companies the healthcare companies to adopt multiple clouds for redundancy for high availability etc yeah you bring up a great point one of the questions we've been asking for the last couple of years is how is multi-cloud the same or different from what we used to see with multi-vendor aught if you know I think back to you go back you know 10 15 20 years ago and some of the M&A discussions that Omer was talking about you know you know I buy another company Oh what are they doing for their network well throw out their whole network and let's standardize on the vendor of choice that we have because it's better if I can go homogeneous well it's not as easy to do that in the public cloud so help us understand you know it's not as easy as that saying oh all these clouds they have API is they all use similar type type of abstractions and the like you know where does Al Kira really help make things easy for customers when they're when they're doing multi cloud so you know every cloud is doing things differently when it comes to networking so yeah at the end of the day functionality might be the same but how to achieve that how to get that working it's very different between each plug so now what we are seeing with these enterprises is that they have to build a deep understanding of each cloud before they can take on that cloud and nowadays cloud architects are in big demand they don't come cheap either so you don't necessarily just need the personal cloud architect with expertise in one account you need like architects with the expertise and multiple thoughts so so we wanted to solve that problem that's why we took this challenge on and we wanted to make it a make it one way of working with all these clouds so from a cloud architects perspective from a enterprises perspective why can't there be just one way of connecting to all these clouds why do I have to know the details of each cloud as armor said each cloud spring brings its own own its own value in different ways and there is a multi cloud strategy out there so either customers are in multiple pounds or they're looking at at multiple doubt so that's that's a big challenge right now and since what we are offering is as a service it's a unified global multi cloud network and again we're virtualizing the cloud network all right Amir you mentioned early on in the conversation that Acura is well funded you've got Sequoia and kleiner perkins as two of your investors you know definitely companies that look closely and understand the networking space help us understand the basics of the company though coming out of stealth right now is the product available where is it available you know where are you with with customer and deployments certainly we are making our product available on April 15 and many customers are trying it right now they're in the process of deploying it in production these are across industries healthcare manufacturing high-tech you know financial industries so customers span across multiple different verticals in addition to that many service providers are working with us to offer this to extend their capabilities into the cloud so many service providers have been struggling with that and this makes it very easy for them to complement their private connectivity solutions and extend their reach deeper into the cloud so the industry is very excited right now and we are excited because this is an opportunity you know which the cloud migration has brought to the table from networking perspective and if we had thought about it 10 years ago 20 years ago it was just not possible and now we have this capability in the clouds to offer in lastik capabilities do not only provide connectivity but but integrate the services like firewalls scale them up and down and provide proper governance yeah you bring up such a such a big point there I talked before about multi vendor and today you know the network team it's not just oh well I touch all of the gear that I manage as you said it's the service providers public clouds they need to span all those environments we've definitely seen a huge shift in service riders and their relationships with the public cloud over the last five years or so atif I guess that brings up a the important point here who's gonna be managing all this when it comes to a Keira is this the traditional Network person if they've been you know doing land maybe a little bit of an are they going to be doing it is the cloud team you know where does this sit in the you know conversation and jostling of roles that we're seeing as organizations are more and more embracing public cloud so it's Stu it's still a networking solution so what we are seeing working with our customers is that it's a it's a cloud architects who are were very excited when they see our solution now they can see that the network can can can show the same agility which they have been very they're being seen with with compute and storage and and rest of the stuff moving into the cloud so network was always like behind it took a lot lot of effort a lot of work to get the network to extend into clouds meeting all the all the enterprise requirements so now network architects are excited because they it's it's become very simple for them to to move into the cloud or extend their private connectivity into the club I'll give you an example we've been working with some large enterprises and they many of them they don't need to open up a manual or documentation to use our solution so our goal was always to make it so simple that anyone should be able to connect to a cloud without knowing anything about the networking constructs of a given cloud so you just come in you should just be able to give us the requirements that you need need this much capacity you need this much throughput you need B services to front-end the clouds these are your security policies which are global and you need like a multi global transport or global network a multi-level network and you should be able to just bring it up and you should on you should not need like certifications in cloud networking or certifications in using tools to orchestrate cloud connectivity so we are built a very scalable infrastructure which allows the customers to get a service from us or use our service which which meets the requirements all right I'd like to ask both of you you know it's April 2020 you're coming out of stealth you know I'm sure the product has you know all the features that your customers are asking for today but give us a look as we go through the kind of the next six to 12 months armor first from kind of a customer standpoint not if from the technology standpoint what should people be looking at both with your product how you're working with partners and you know really this multi cloud networking landscape our focus is on mid to large size enterprises and depending on which company you talk to their strategy varies to get into the cloud somewhere some are at a very early stage others have moved significant amount of workloads into into the cloud already the reality that we are seeing out there is that the hybrid environment is going to exist for a long long time and that's why we have built a solution which seamlessly integrates their existing wide area networking infrastructure to bring traffic into our solution and then we tie them seamlessly to the cloud and provide integrated services and Governors governance on top of that and they can define their own internal policies based on you know their enterprise needs so that's what we are seeing right now and going into the future I think that industry is going to continue to evolve it's still early the solutions will evolve quite a bit we have a first mover advantage to provide networking as a service and we are so excited to just continue to you know accelerate and help customers to migrate into the cloud as quickly as possible provided with the highest resiliency and security yes so from from a technology perspective as I said like we we believe in working with the customers and solving their use cases we are innovating at a very rapid pace and there are many many different use cases which which we are working on we have some of the use cases which we are which we have delivered so far where we are going out with a certain number of use cases and we will be adding more use cases as we as we go support support for more use cases and we support like all the major clouds right now we will be adding more clouds to our offering we offer a Marketplace on our portal as well so it's a it's a it's a cloud service with a built in marketplace of network services we will be expanding that marketplace as well with more services it's all based on the on the customer requirements and and we prioritize our offerings based on the requirements and there's a there's a lot of work ahead of us also it's just the beginning and as I said we are very excited to solve all these problems and make our customers successful excellent if you're a good setup for armors last slide here so we've got a slide here is that how do customers get started walk us through yeah as I have said we've our goal is to make it as simple as possible you know we live in a different world now where things change very very quickly but the customers just come to our portal they register or our service just like any other SAS based service they you know basically are taken to a canvas where they can draw their infrastructure drop services create policies within minutes and then you know across the globe and then click on the provision button and they can go and have coffee and the full infrastructure comes up literally in less than an hour as a matter of fact in many cases we have seen a comment in around half an hour across the globe this is the type of a solution or capability that the industry has never seen before in the industries we are very proud of bringing the solution to the market well congratulations both of you a lot of work goes into bringing a company to launch before I let you go I do have one last question you two are brothers you've worked together at a number of companies so you know give our audience but you know what it's like and you know what what keeps bringing you back to working together well we are very close family we've always you know you know studied together work together and many different companies we live about five minutes away from each other our kids hang out together we travel together so you know it's kind of interesting you know we've always had a very very close relation yeah this is this is a fifth company I guess where we are working together as he said like we have always worked together we have a we we have a same circle of friends also so so we have very very close to each other so yeah this is one of the best squash players in the country and nowadays he doesn't get much time but he was ranked in the top three for a long time in amateurs in the country well that is awesome well hopefully you know you get to get a little bit of break you know once the company goes into spell they know a lot of work moving forward but I'm Erin atif congratulations and thank you so much for joining us to announce coming out of stealth thank you thank you for having us thank you it's a pleasure to talk to you alright and we definitely look forward to tracking al Kyra in the future as that they move forward with adoption with their customers and their solution I'm still minimun and as always thank you for watching the queue [Music]

>>Come back here. This is Silicon Valley coverage of ADU Summit. I'm John Fur, the founder. We're, we're pleased to have a friend inside the cube. It's rare to have such luminaries, Ama Aala, good friend and also co-founder of Cloudera. Really the pioneer in the space that helped build this industry that we're living here at at Hadoop Summit. I'm with Dave Ante from wiba.org. Amour, welcome back to the Cube Cub alumni. Thank you for having me here. Wow, what a journey. Are you co-founded Cloudera? I remember when you in Stealth Mo, I really can't talk about it. And, and then of course the history of Silicon Angle being, you know, founded and kind of built in in your office when you only had like 20 something employees. Yep. We owe a great deal of gratitude to you and, and congratulations to you Michael Olson, the team for building an industry. So I just wanted Thank you. Thank you. And welcome to the Cube. >>Thank you. It was great to be here. >>So what do you think, what's your take on the current Hadoop ecosystem right now? I mean, obviously a lot's happened. I mean it's big now. It's growing up fast. Yeah. The word enterprise grade is out there. You're seeing it move from, you know, trying to change the world. Our first interview, you said, I've seen the future, I want to bring it to the mainstream. It's here. Yeah. It's hitting mainstream right now. Yeah. What's your take of the current situation of the ecosystem and it's, and its value? >>Yeah, so I, I have a quick question first. Should I look to you or look to the camera? Look to >>The camera or both? Whatever you, whatever you'd like. >>So I think it's, the ecosystem is definitely growing, which is very, very healthy. However, there is a side question there, which is what do you think of all the competition coming into the space? So five years ago when Cloudera was started was just Cloudera. There was no other commercial vendor trying to support or enable Hadoop in the, in the industry for enterprises. And today there is at least 10 of them trying to compete with us, right? And that includes big companies, established companies that decided, hey, we gonna start addressing the space, but includes many, many newcomers who like Hortonworks, who were founded over the last couple of years. That's a healthy thing. I mean, that's absolutely a sign of a growing market. If the market wasn't growing, if there wasn't money in the market, if there wasn't, if it was just hype, there wouldn't have been all of these new companies and new ventures showing up. That said, I never look at competition as something that worries me, that I'm afraid now or what's gonna happen to me, or that's normal. That's exactly what happens to successful companies. If you look at Red Hat, when Red Hat was launching with the Linux, they had 25 competitors or even more 30 competitors. That's when Red Hat was forming out. And today, even of these 25, 30 competitors, they still have six or seven still left. So I think it's a very, very healthy sign of the graph of this market and the maturity that's reaching. >>What do you think about some of the, the white spaces that are evolving? You guys have obviously been involved in a lot of deployments at Cloudera. Again, you're doing a lot of, lot of work with the top, top names and the clients that you have aren't usually disclosed cuz you really can't disclose them. What, what are you seeing right now as the white spaces for things to do in the Hado platform? >>It's a very, very good question. So first I can't talk about future, future roadmap. Right now we're becoming a big company at that level where we can't comment on future roadmaps. >>Ah, that's sinus sign of the >>Time. You're well media train, good to see they're doing a good job keeping you >>A, You want more information on that? I can connect you with a pt, >>Please. No, no, no, we're good. We're good. We'll get it outta you. But, >>But our vision, our vision for Cloudera from day one, like you were saying earlier, we saw the future, right? So our vision from from day one was really to build this data system where we can have detail of any type, whether that data is structured or unstructured or images, it doesn't matter. And then on top of that data run any type of workloads. That workload could be the initial genesis of Hado, which is map use, which is batch processing. But now as as we made many announcements through the last few years, we also now have Impala for interactive analytics as a workload. We have a very, very strong partner partnership with SaaS for doing machine learning and statistics as a workload. And a few weeks ago we announced search as another workload. So you have multiple types of workloads that can handle different types of problems that you have within your organization and bring all of these workloads to all of your data regardless of type. And that's the vision that we'll continue to deliver on. That's exactly what we're building going into the >>Future. So how's that fit in with yarn, right? We're hearing a lot at this conference about yarn, the ability to, you know, do more with less in a lot of the things that you typically hear with the enter within the enterprise. And, and so talk about that a little bit. >>Yarn is a very core part to our platform. In fact, yarn has been part of CDH four for more than a year now out in the, in the markets. So we did bring, we were one of the, I think we were the first vendor who brought yarn into a distribution of Hado out there. It's very, very fundamental to us because that is how we're gonna coordinate. We are gonna be using yarn to coordinate launching all of these different type of workloads. You're gonna have the map produce workload, which is very batch oriented. The Impala workload, which is very latency sensitive. The, the search workload, which is also very latency sensitive. The machine learning workload, which is more batch oriented, et cetera, et cetera. And yarn is a very, very central piece to helping us coordinate all of these different types of workloads onto the >>Platform. Cloudera has been a great citizen in the community also. You, you mentioned and, and we witnessed that your team create the industry. You guys were there, you took the chance, you were the first ones commercially funded by the venture capitalists, you know, then others will follow and I'll see huge ecosystem here. Yes. A lot of noise. A lot of people trying to get attention. So I got to ask you, because I want you to address this because I know it's been talked about in some of the other blogs is there's a lot of fud going on around who's doing what? Who's doing what, and in some cases maybe flat out, you know, misinformation and that happens in a growing market, you know, the elbows get sharp. Yes. So I want you share with the audience anything that you want say about the fud around what people say about Cloudera or about others or what you're doing. Just to clarify, cuz there has been, I mean I've gotten back channel information around, you know, not sure the committers this, and it's been, it's been well documented. There's a lot of fu out there. What, what would you say to the folks out there to clarify >>That? Yes, I, I would say that our focus should be to continue to work as a community, to push the platform forwards. I would say that at Cloudera we do a lot of contributions. Horton works definitely is one of the top contributors out there as well. I'll acknowledge that. So as many, many, many other companies and we wanna continue to see the platform evolve. I will stress though that at Cloudera we do have a number of the original project founders working at the company. So it's not just the, the contribution that we bring, but the fact that we have the founders of these projects working at Cloudera. And some of these projects actually were created at Cloudera from day one as opposed to created in some other company. And then you hire the employee and they work for you. So I gave you what examples from Cloudera dot cutting. >>He is the creator of Hudu dot Cutting is also the creator of Luine, which became solar, which is part of the search project that we launched recently. Dot Cutting wasn't with Cloudera from day one, right? So, so when he created these technologies, he actually was at Tia for example, when he created had he was at ta, wasn't at Cloudera. However, he now works for Cloudera. So we get that because now that cutting works for Cloudera. So that's one example. On the flip side, there is projects like Flume and Scoop that are now part of every single distribution out there. And flu and Scoop were both created at Calera. They were actually created inside of Cloudera. Yeah. So the key point is, and and that's what I would like all of the vendors out there that are trying to leverage had and get benefit about out Hadoop is please don't be just takers. >>There are some vendors out there who are just takers. Just wanna take from the open source, take from the open source and don't give back. Right? I'm not gonna name them, but there is a few of them out there. Please, please, please. I mean that that, that is very, very a selfish behavior. It's not gonna help the ecosystem in the long term. We would like to see you both take and give at the same time. So that would be my core message. And that's for example, like I thank Hortonworks because that's exactly what Hortonworks is doing. They're both giving and taking at the same >>Time. You guys have always been clear on that. Nobody, I mean here contribution to open source has been well documented and there's, there's no question about that. John and I have talked about it a lot that you guys help get it all started. And even Haak when we had 'em on a couple years ago, when Horton Works came to the market said, Hey, the more people work on an open source, the better. >>Yeah, >>Exactly. So yeah, it's always been, been your posture. You're not playing games there. Anyways, having said that, you you, you have a strategy to layer on top of that open source some of your own proprietary code. And so you have choices to make Yes. In terms of how you allocate those resources. So as an engineering manager, how do you allocate those resources in terms of, okay, what do we do for the community and what do we do for our own, you know, future because of the business model that we chose? How do you make those trade offs? >>Yes, that's a very, very good question. So first it's important to stress that our core platform, CDH, is open source. Everything we put in the core platform is open source. So for example, in Palo, which we launched very recently as a ga, now we launched beta last year, but now's ga is a hundred percent Apache license, a hundred percent open source search, which we announced very recently is also open source. So the platform itself, we're committing to everything in there to be open source. Now we believe fundamentally just from having lots of history in studying the open source markets from our ceo Mike Olson himself being one of the very first open source people in the world with, with sleepy cats, the company that he sold to Oracle before founding Cloudera from our investors, helping many other open source companies. To have a successful open co open source company, you need to have a very good engine between the business model that generates revenue and between the product that you are creating. If you don't have a good feedback loop there between these two, you won't be able to sustain the innovation to continue to push the, the boundaries of how good the product is. So we strongly believe in that if you are, if your product is literally a hundred percent open source, meaning both the management and every, there is nothing proprietary whatsoever inside of your products. I can't tell what that is. It's >>Taking a picture. >>Oh, sorry, I thought somebody was waiting >>For me. >>Sorry about that. >>It's a cheap signal. >>It >>Was like a's really good. >>I thought it's like a card of paper with some writing. You, >>You, you have a fan fans out there. They're storming the, the concert here. >>Okay, that's, that's good to hear. That's good to hear. Sorry about that interruption. So if, if, if you have everything a hundred percent open source, that creates two problems. First you have no differentiation whatsoever, meaning another big corporation without naming who the big corporations could be, we just can take everything you do, literally every single bit of source code you have and say, Hey, we can do it too. Come to us, don't work with those guys. Right? We have the latest, greatest things that they have. Why do you wanna continue to work with them? So no, no differentiation is number one, which is very dangerous. And number two, when it becomes, if, if it's a hundred percent open source and there is lots of other vendors able to take the art, the open source artifact and work with it, then it becomes now purely about maintenance and insurance on the products, which is a commodity product, which obviously the prices for that will go down to the ground and you won't be able to have this sustain this positive feedback effect between your business model and between your product code map and won't be able to build a long-lasting company. >>So that's why we do have a combination of open source artifacts and proprietary artifacts. Now our pro proprietary AR artifacts is always around the management of the system, right? So how do we manage the security of the system? How do we manage the, the data flow within the system? How do we manage the services inside the, of the system across all layers, right? Not just the Hado player but the edge based layer, the zookeeper layer, et cetera, et cetera. So that's where we focus our efforts going forward and that's how we differentiate ourself from our, from other vendors out there. Cloudera manager, Cloudera navigator are very unique to us. Nobody else has anything close to those capabilities out there. >>So it sounds like the contributions you make to open source are cultural of, of, in nature, I mean DNA of sorts of Right. And so you're, that's something that you guys do cuz you've always done it. Absolutely. And then the, the artifacts that are proprietary are essentially around rationalizing the revenue opportunity with the expense that you're gonna apply there and making a business case decided >>How to balance. That's that's one. And then two, the differentiation from other competitors. So these two things, Yes. >>Okay. >>I believe that's fundamental to business to open source business models. >>Yeah, I mean there are many open source business models, right? You can go pure service, you can go, like you said, you can totally bogart the code. >>There is no, there is no pure service open source model company that was able to build the longlasting surviving public company, never happened in history. They always get acquired because it becomes a commodity. I >>Mean, right. I mean, I mean and even ibm, right? >>Tom or I want to ask you about the storage thing. We were talking before camera, the, the hor and worst announcement storage you, what's your take on that? >>Which one? The Gluster, the one with Red Hats? Yes. Yes. So Red Hats and yeah, there has been recent news about Red Hat with, with Hor Works having a version of the Haddo platform that uses map use for the computation but uses Red Hat for the storage, right? So Red Hat has a new storage offering that was built based off of a company they acquired was called Guster. And that, that news was very, very surprising to me. And it, the reason why it was surprising, it's correlated also with a shift in messaging from, from Horton works. If you look at Horton Works last year at had Summit last year, one of the key messages that they deliver to us is that within the next five years or by 2015, the tagline back then by 2015, and you're doing research right now to see if I'm saying the right thing. By 2015, half the world data data will be on, will be stored in had would be stored in had. Yes. If you look today at the slides, it >>Doesn't say that it says within five years, >>Right? No, no, no. It says, well >>That was the second iteration was within five years. And now they say something >>Different. Now say they say within 2015 by, sorry, by 2015, half the world's data will be processed by Hado and instead of stored by Hado. And that's a very, very fundamental So >>It's a nuance. >>It's a, it's a very important >>Nuance. Well it's a big deal because yes, when I first saw that I said, Hmm, what does this all mean? And then it sounds 2015 sounds a little early. Yes. And now you're saying processed by, Okay that's different. >>Yes, exactly. And and the reason why now is we believe s GFS is very, very core to the had platform. S GFS is very core to had platform, the storage system of had we want. It's really the layer that Mid had with is more than anything else is how scalable, how reliable and how economical the sdfs storage layer is. So we, we really, I mean ask qu works and ask all the companies working in the, in the had community not to fragment at the storage layer. We need the storage for had to stay inside of had and not to fragment that out. That's very, very critical. >>Okay. So but so >>You're saying that they're in indicating through the gesture that, that they're not come out saying we're going to fragment Hgfs, but the way that this is position might signal >>No, no, no. The announcement, the announcement with Red Hat is >>That is the direct signal. It's >>Literally, we, you'll be able to run map produce directly on top of Red Hat storage instead of sdfs. >>Okay. So >>I >>Interpreted it, I interpret it as they were just hortonwork was hedging on its prediction, which I said Okay, I'll give 'em a break on that. You're saying it's something different, >>It's a shift in strategy potentially. Yeah. Which can be dangerous. It's shift in strategy. >>Is that a compliance issue? Cuz you know, the, the Dishon Hads poss Yeah. Red Hat does have a lot of enterprise customers. Yeah. So is that just maybe if >>Then invest in making had poss compliance, which actually by the way, we are as a community investing in that. Yeah. Yes. You must have. Yeah. So we are investing in adding compulsive poss compliance to had, we're investing in adding snapshots into had, which will be coming very, very soon overnight. >>Well, do you think that that pick a year, I don't care if it's 2015 2000, 22,000 whenever that the majority of the world's data will be running into do >>The majority of worse data that has to do with analytics. Yes. Okay. So so there is, >>So that is that >>Is it's very important, the caveat. Yes, exactly. Because there is lots of types of data that are not very suitable for, had at all. For example, that data storage for Oracle systems, for Oracle database systems. No, you wanna store that in an NetApp emc you don't wanna store that in Hao the, the, the, the, the data storage for streaming video files, right? For just streaming lots and lots of video files. No, you don't wanna store that indu. It's >>A huge >>Proportion of the data. Yeah. Which is a huge, huge >>Proportion of data files, in fact that could overwhelm the data. >>Yeah. So the new nuance, like I would say like I agree that the half thing but the half thing within the world of data for the purpose of analysis. >>Yeah. Okay. So that's, that's >>Narrow down the >>Yeah, okay. But it's a more reasonable, But I've, I >>Never, It's still a huge market by the way. It is. Yeah, >>It is. Yes. Okay. So, so what's next for you? A are you, you, you've gone on this, this journey, you start this company. You've, you've been traveling around like crazy working with customers. What's the next phase of aara do's, you know, career? >>What >>Do you want to have happen next? I mean, what, what do you, what excites you? What do you, what are you working on? >>Yeah, it's just to continue to grow cloud there to be the biggest company it can be. I mean, we want to be literally, we want be one of the very few companies that we're able to take an open source model and turn that into a large publicly traded corporation. >>So you've talked about that you guys brought a new CEO on Right. Look at the background of the ceo and it's, you know, clearly it's got some IPO chops. Yes. So that's, that's an aspiration that you guys have put forth. Okay. >>And you're outward facing now. So you're doing a lot of travel. Yes. So what, what, where have, what have your travels taken now? You've been in China, you obviously you've got a European office Yeah. Open. So what's going on internationally? Give us some sound bites of, of what's happening in the field. Yeah, >>So in, in internationally, I mean, Europe definitely is our next big focus right now. And we now have a big operation in Europe and we have an office presence in, in Europe and a big team down there. And it's growing very quickly. I would say Europe is about two years behind the US kind of like that's how the, how the growth usually matters. What's happening here. And yeah, so we, our, our next big market is Europe. We are looking at China. We don't have a big process in China right now. Japan, we have a big presence in Japan. Japan is growing very quickly. So yeah, I mean we're obviously Canada with the US growing very quickly as well. >>Great to have you on the cube again, for me personally and, and for, for Dave. And I wanna say thanks to Cloudera for some great support over the years. You guys have been fantastic. You know, I say it's built a great company. It's so hard to build a company. You guys have done a great job. I gotta ask you the final question because you did bring that first sound bite, which was, I saw the future, this is back when you guys were just in your B round in, in Palo Alto office, just ramping up, just starting to ramp what's next? What do you see as around the corner? Obviously we're on a trajectory right now. A lot of things gonna get done. Positive compliance, a lot of stuff's gonna fill in. The platform's gonna get stronger. Yeah. We think that open source will win. Yeah. Through all the democratization of open source. What's next? What's the, what's around the corner that you're watching personally that you're, that's interesting to you? A or around where this will take us? >>Yeah. So what, what's next is having this, having this vision become true. Having this future vision that, that you refer to become true. Meaning having a single platform that can store all of your data and that can, regardless of the type of that data, and allow you to extract value for different types of workloads, whether that be batch, interactive machine learning or search or more, right? There will be more things that will come to the platform, but how to bring your applications, all of your data applications, how to bring them to your data and all of your data as opposed to have the data go to them. >>And what are the landmines out there that you need to avoid Yes. In the industry and community needs to avoid to make that a reality. >>The, the key landmine, it's, it's a bit technical. The landmine is a bit technical, which is making sure that they, they are vision continues to evolve and that we have the capability to properly have a multi workload resource management system that allows me to run all of these type of workloads without having them step on each other's steps. That's the key key step going forward. And >>Of course, playing well together in the sandbox. And as always, competitive competition is good. And again, Hadup is doing great. Amma Aala, co-founder of Cloudera inside the Cube. This is Silicon Angle and Wiki Bond's exclusive coverage of ADU Summit here in Silicon Valley. Right back with our next guest after the short break.