>>The cube presents HPE discover 2022 brought to you by HPE. >>Welcome back to the Cube's day one coverage of HPE discover 2022 live from Las Vegas. Lisa Martin, here with Dave ante. We've got a couple of guests here with us next, gonna be talking about industry transformation, please. Welcome, brought off director of global industry and sustainability marketing and Andy Hulk, halter senior director at worldwide industry sales programs, guys from HPE. Thanks for joining us. You bet. >>Thank you for having to >>Be here, >>Industry transformation. That's a big term. It's not a new concept, but we see so much going on. Andy, talk to you about industry transformation, from your perspective, where are customers, how are they capitalizing to really make data a true currency? >>Right? Well, underlying all this is, is the data that is becoming so complex, but at the same time, there's specialization required in each industry with the different applications that the industries are running and our ability to bring that forward and connect all those things is a big trend going on. And as we see that developing over time, um, we're getting more, um, connecting those different applications that are running is becoming more, uh, every day we're doing more of that. >>One more. >>So where do you wanna start? What's your favorite industry to, to transform? Uh, I mean, financial services is, you know, got the right, the whole blockchain thing going on, uh, industry 4.0 and manufacturing, you know, retail, everybody has, uh, you know, an Amazon war room, you know, energy now with EVs and, and solar and everything else and the price of oil. And, and now you throw in inflation and supply chain and you, I mean, it's just, every industry is getting disrupted. I, I wanna make an observation. You guys tell me what you think. Yeah. You know, think about the, the incumbent industries. They, they generally have data at the outskirts. It's all siloed and they're trying to put it at the core and that's a big challenge for them. What are you guys seeing in terms of who is having success with that? Do you have examples? What role do you play? Yeah, we have so much to talk about, right? Yeah. >>Yeah. Let me I'll jump in here. Um, I mean, I think one of the unique ideas is all this interest industries you mentioned, there are all trying to learn from each other, right? If you're a financial institution, you wanna understand what retail is doing because you wanna serve your customers better. Right. You wanna look at, you know, some of these technologies, how they're being applied. Um, you look about like sustainability industries are trying to learn how to do that better from each other. So there's this notion of industry and transformation is it's kind of twofold. It's one. How are these industries almost like entering new markets? I mean, you look at, at all the tech, tech companies out there, they're all getting in into payments, for example. Right. You know, Google pay app. Yeah. Mm-hmm <affirmative> so that's just like one example of where you're seeing the kind of, that, that blurring of lines between industries happening >>Content, uh, Amazon getting into grocery. And so in, in the premises, that data is the enabler. I mean, right. For decades, we've seen a, a, a stack, a vertical stack within an industry where, yeah. Where, whether it's, you know, research and development, manufacturing, sales, and distribute marketing, you were in that industry stuck for life. Right. And now all of a sudden data allows you to traverse industries. Yeah. This dual disruption agenda that you mentioned, right? >>Yeah. It's, it's, it's really, as it's core is because these companies have the ability to take advantage of that data even more. And they're trying to serve their customers even better that that's kind of opening up these new doors for them to, to do that because that's, you know, and again, there's so many good examples out there. Uh, automobile manufacturing are looking towards the gaming industry, you know, to how do they design controls, you know, that kind of stuff is, you know, as example. So you see, you know, all kinds of that. You mentioned also that, you know, everybody's trying to bring the data to the core. I don't, I don't think that's necessarily true. I think you heard earlier today in the keynote, you know, that that companies want to be able to, to take advantage of the data, data, wherever it is. Um, if it's the edge and a factory floor, if it's in a, you know, it's patient data sitting somewhere, you want to, you know, handle it where it is, and there's a cost to doing that, to bring it all >>Together. Yeah. So by the way, I wanna clarify you're absolutely right. The data by its very nature is distributed. Sure. When I say core, I mean, put it at the core of their business. Sure. That's >>What, I mean, >>Fair enough by data first, but your point is really, we're gonna talk about that. Yeah. Because it brings, brings so many other challenges with how you deal with that. But please jump in Lisa. Yeah. >>I was just gonna ask you, Brad, you talk about the blurred lines between industries. Yeah. And talk to us about how is HPE a facilitator of those industries learning from each other. You have such breadth in so many different industries as Dave mentioned, but how are you that enabler, if you will, of allowing them to, to be able to have data be that key. >>Yeah. Yeah. I think, I think it just comes through the experience of working with these customers, um, you know, in these various industries. And then, um, there's so many times where customers come to us and they want us brief and again, they wanna learn for these other industries. So we're an aggregator of that technology. We obviously UN understand the technology with the cloud or, you know, edge or, you know, anything we're doing in with data. So we're using those, you know, those lessons and just applying those out there, um, you know, to those industries. So it's, I think it's just us as an aggregator. >>You, you, how how's the customer experience changing any we heard from home Depot this morning, they were focused on the customer experience and, and their associate experience. Right? Yeah. Bringing those together maybe. >>Well, you know, what we also heard this morning is the different personas, right. That are out there and being that are looking to transform their business. Yeah. And each of those personas is still linked together by the data, but they want to use it in different ways with different applications and the ability to connect all those things. Again, they're learning from each industry. So what home Depot learns about their mobile apps, maybe something that we can deploy in, uh, manufacturing, um, as far as locating things on the floor and connecting the edge data in, bring it in to, and then use that to analyze, use AI models, to do predictive behavior, uh, preventative maintenance, all these things are similar uses of connecting the data, but then applying to the specific industry use case. Yeah. And that pivot of that horizontal use of the data into those specific demands by, uh, at the personas within the, the, the different industries is what we're, we're >>Focused on. Yeah. And the technology is like an accelerate, you know, here. So you're think about like something like 5g, right. 5g is gonna accelerate, you know, a lot of transformation in various industries. Um, throughout that, I mean, tech, you know, the technology alone is not really what the, the, the customer cares about it. They, they care about what do I do with that? What kind of outcome can I get? Right. >>I wanna ask you, Andy, about the customer conversations, you talked about the personas, we've been talking about data democratization for a very long time. Mm-hmm, <affirmative> obviously is a challenging thing to do, but how were you seeing customer conversations, change and evolve, especially over the last couple of years where every L B has to have access to data and be a driver of its value. >>Right. Well, the customer, you know, historically H HP's, uh, background is in infrastructure and we've served industries in the data center for a legacy, right. Mm-hmm <affirmative>, but now they're saying it's more, you know, I've gotta talk to, uh, more people in my business as a data center owner, I've gotta serve these folks, understand their business. And as a supplier, to me, you need to understand them as well. And sometimes help me with that conversation and help me see the things to make those connections that I may not know as a data, you know, as a, as an it professional. Um, and how do we challenge the business to think about different ways of doing things in the industry? So how do we, we think about, um, you know, bringing those connections from other industries in, and, and, uh, uncovering, uh, opportunities or problems anticipating problems in those deployments that they may not have seen by their staying in their swim lane. >>Yeah. You know, I'm, I'm touring on this topic because on the one hand, I think about the, the big data era and, and, and I know a, of, a lot of failures to, to return, you know, the expectations and it wasn't a fail fast. It took a decade, you know, to get there. And part of the failure domain was to your earlier point, Brett, everything was sort of shoved into this centralized location. Yeah. You have this hyper specialized data team, and everybody has to go through them, but organizations I think are now realizing it, like, like your thoughts on this, that data has to go out to the lines of business. It has to be contextualized. People are now talking about building data products and monetizing data. And yeah, that's really, to me what digital transformation is about. So, but generally speaking, most companies are not great at data. They have a lot of data. Yeah. A lot of, lot of data line around insights. I think we heard in the morning keynote are scarce. Right. So what's your vision for how this evolves? >>Yeah. I think, I think, you know, from the data perspective that again, the, at the core is how do I serve my customer better? Right. So, you know, whether that is actual, you know, customer data that you want to sort of up personalized offers for, or, you know, make decisions of, you know, medical decisions for their, you know, for their, you know, better patient outcomes. So if they keep that in mind, then, you know, as far as how it's used by the different lines of business there, you know, that's where we can help facilitate, you know, in many ways. And that's where, you know, cloud becomes a, you know, a really key technology, um, you know, having that flexibility to, to move it around as needed, create the, you know, um, deliver the workload where the customer needs it, that, you know, that sort of idea is, is where we're, we're going with this. >>I think, yeah. I'd, I'd like to give you an example, um, please, in the FSI industry, uh, out here on the floor, we've got a demo on payment systems, right. And we've been doing that, uh, with our nonstop, uh, product and supporting that, uh, in the, in the banking industry for 10 years or more. And it's evolved over time to be one of the, you know, it's a ubiquitous across the, in the support. Yeah. Um, but now we're talking about new regulations with all the global events that are going on, you know, crazy stuff that more pressure on the banks to, to comply with that, um, worries about money laundering and fraud prevention. Well, connecting those, the data from those payment systems into the AI modeling that is now being deployed to do more sophisticated fraud detection and Mon money laundering detection and all of those kinds of things, how you connect those together as an example, what we're seeing, how we get more insights by, uh, by the combination that we can bring together. >>And the insights is critical. Yes. Right. I mean, without it, the data isn't very useful. >>Right, right. Right. And I think even, you know, these, these concepts like swarm learning right. Where you're actually trying to aggregate a lot of those, you know, a lot of that data and, and provide, you know, even a broader data set to, to learn from is even, you know, more beneficial. >>I think the, when you think about the, the principles of this, this decentralized world, that's that it starts with an organization saying, look, we recognize that we can't shove it all into a data warehouse or a data hub or a single data lake. Yeah. We're gonna have all of those. And those are just kind of nodes in the mesh, like it's steel as Youma the GHI term <laugh> and, and, and, and increasingly data as product that can be monetized. We're hearing a lot more about this, and those are organizational yeah. Considerations. I mean, HPE can maybe facilitate that through whiteboard sessions, but, but the, that leads to, in order to, to democratize data, I need self-service infrastructure and I need data that can be shared and governed. I, I don't know about the last one, but you definitely are. Number three self-service infrastructure simplification. Yeah. Your version of cloud. How do you see that, uh, your, your role in that little vision that I just laid out? Do you buy that? >>You wanna take that or, >>Well, I, I think that we have, um, we definitely, because we, we see the data in all these different places and we're, we're trying to be agnostic to, um, you know, where it comes from, who owns it. It's how do you get it together and make it useful? And you don't have to capture it. You don't have to own it, but you may own some of it. You may borrow some of it. You may rent some of it. You may buy it and you may bring it together and they'll use it for the purpose. And then move on to expand into new things that you learn from that you may then monetize, um, in all those different ways. So we have a role of making that platform in a way that you can see it in different ways and use it consistently and repetitively and GRA gain more value of it, and then apply your applications and, you know, all those other things that you do. But that, that bringing together agnostically is a big part of our offering. >>And, and am I, am I not correct? I'm in my thinking on H HP's value is providing that infrastructure, uh, to be able to do just, just that that's your swim lane, if you will. And >>It is, but we're being asked to move up the stack and provide not only the infrastructure now, the platform, the ability to offer that platform, uh, in our HPE GreenLake offering where we're, we now can, you know, have cloud-like services on prem. It doesn't really matter where the data sits, um, and then plug in the applications and even manage those applications for the >>Customers. Okay. So, I mean, I see you as I, as, and Paz, which that up to stack yeah. The ability to, okay. I want whatever Python or open shift, I wanna build applications now on that. Interesting. The management piece is something I, I excluded, um, be because an organization may say, Hey, we need help managing this stuff. Right. But I see that, that I, as in pass, as infrastructure, you're not getting into applications where you're getting, you're not >>No other than letting, letting customers, you actually build on top of that. Right. Right. There's a >>Lot of customer, you're an enabler. >>Absolutely. Yeah. You look at some of the things we're doing with, you know, with our escrow platform and things like that. Right. You know, we're providing that development platform in a, in a really streamlined way of, of, you know, pushing, you know, applications out. I mean, little known fact, right. Is that most banks right now are hiring more developers right now than, than finance people. So all these, all these industries are becoming tech companies and that's, you know, that's the whole launch of the FinTech industry many years ago, and it's, you know, continued to evolve >>And they want to bring AI, they wanna bring data into their applications. And you, HPE I see is an enabler of >>That. Absolutely. Absolutely. >>Give us last question. As we wrap up here, give us the vision, like the next five years, what are some of the industry transformation elements you are forecasting if you have a crystal >>Ball. Yeah, yeah, yeah. I think number one, just an increased focus on personalization and customization. Uh, you know, you look at, you know, personalized offers when you add location based services, things like that, combined 5g, you know, like all this technologies, you're seeing a lot of that custom manufacturing, so those kind of trends are gonna continue. And we know that's, you know, those are the workloads that we gotta, you know, know know is coming, you know, down the pike and, and, and address those. Um, secondly I think AI, right, AI is gonna, is gonna be, you know, it's gonna impact every industry in a big, big way. You know, when like Andy talked right about, you know, fraud detection, uh, you know, manufacturing, robotics, those kind of things. Uh, and then I think, um, you know, lastly, just, just this more convergence, you know, of these industries, right. You know, tech is just, you know, impacting everything in such a big way. And so you're gonna see more of that, that blurring of lines between, between industries. So they jump into jump outta their normal swim lanes. Right, right. >>Be between machine learning and AI, we're gonna see efficiencies by doing things better, with less, uh, deviations and driving, uh, lower cost. And we're gonna see new capabilities come to the forefront and that's gonna be consistent across all industries. And it's gonna be based on the data. Both of those require the models, you know, the data go in and drive their models. Do >>You think any industry is more ripe for disruption? I mean, timeframe wise, you got healthcare, you know, like I always wonder, you know, how is AI gonna help doctors make better diagnoses already is yeah. Will, will AI make the diagnoses? Yeah. You know, retail, I mentioned before, you know, energy, you know, government is changing entertainment, media entertainment is, do you see any industry patterns where one is being disrupted more than the other? >>When we talk to customers, every industry thinks their industry is not going fast enough. And so it's like, you know, I think everybody is just so hyper focused on, you know, what they are involved in and then their domain that, uh, you, you, depending on who you talk to. Yeah. I, you don't, everybody needs to do it faster, you know, more economically, um, and more efficiently. Right. And so >>I think, and they're all being disrupted now, too. Absolutely. It's not only have to do faster, but they've got to, um, transform to keep up with the demands of their >>Customer. Nobody's safe. >>Yeah. And the technology's just gonna continue to accelerate that. And that's the thing. And, and, and the market's becoming, you know, less forgiving as, as we go. So people have to react really, really fast in these markets, you know, and especially with all the other changes going on around us, uh, to, to actually, you know, make that impact. >>Interesting. I'm liking what's in this crystal ball. I'm gonna have to ask you guys for some cons after we wrap here. Absolutely. Thank you so much for joining David, me talking about industry transformation, tremendous amount of, of transformation so far and so much to go. It's exciting to watch. >>Yeah. Appreciate it. >>Have an, we appreciate it for our guests and Dave ante. I, Lisa Martin, you're watching the cube, the leader in live tech coverage. You AP back after a short break.

>>welcome back everyone. We're back to intermission. I'm hama in case you forgot and hear them with Brett and Peter. So what a great morning afternoon. We've had like we're now in the home stretch and you know, I really want to give a shout out to all of you who are sticking with us, especially if you're in different time zone than pacific. So I then jumped into the community rooms. The spanish won, the Brazilian won the french one. Everybody is just going strong. So again, so much so gratitude for that. Thank you for being so involved and really participating the chat rooms in the community. The chat windows in the community rooms are just going nuts. So it's, it's really good to see that. And as usual, Peter and brat had some great, very interactive panels and that was very exciting to watch. But you know, since they were on the panels, I decided to go and see some other things and I actually attended the last mile of container ization. That was, that was actually a very good session. We had a lot of good interactivity there. Yeah. And then while also talked about the container security in the cloud native world. So that was, I think that was your panel peter. That was, that was very exciting. And um, I want to share with everybody the numbers that we've been seeing for dr khan live. So as, as of, I'm sorry, said we need a drumroll. We do need a drum roll. Can you do a drum roll for me? No, no, no. >>Just a >>symbol. Okay, good. Go. Uh, we're at over 22,000 attendees um, today. So that's amazing. That's great. I love the sound effect. That's a great sound effect. The community rooms continue to be really engaged. We're still seeing hundreds of people in those rooms. So again shout out to everyone who is participating. And I felt again like a kid in a candy store didn't know which sessions to attend. They were all very interesting and you know, we're getting some good feedback on twitter. I want to read out some more tweets that we got and one in particular, I don't know whether to feel happy for this person or sad for this person, but it's uh well the initials are P. W. And he said that he was up at two am to watch the keynotes. So again, I'll let you decide whether you're it's a good thing or not, but we're happy to have you PW is awesome. Um as well. There was someone who said that these features are so needed. The things that dr announced this morning in the keynotes and that doctor has reacted to our pains and I think they mean has addressed their pain. So that was really gratifying to read. Yeah, really wonderful. That's some other countries that I didn't shout out before this just tells you what the breadth and scope of our community is. Indonesia, la paz Bolivia, Greece, Munich, Ukraine, oxford UK Australia Philippines. And there's just more and I'm going to do a special shadow to Montreal because that's where I'm from. So yes, applause for that. It was really great. And so I just want to thank all of you. Um, I want to encourage you when we talked about the power of community. Remember we're doing a fundraiser. So to combat Covid for Covid relief or actually all that money is going to go to UNICEF. Docker is contributing 10,000 and we're doing a go fund me. And the link is there on the screen. So please donate. You know, just $1. 1 person each of you donates $1. We would have raised over $22,000. So please please find it within you to contribute because again, our communities that are, that are the most effective are India and brazil, which are are very active doctor affinity. So please give back. I really appreciate that >>highlighted by the brazil. Yeah. >>You're going to brazil room and get them all to donate. Exactly. Um, also want to encourage, you know, if you're interested in participating in our, in our road map. Our public road map is on GIT hub. So it's get home dot com slash docker slash roadmap. And that's something that you can participate in and vote up features that you want to see. We love to get the community involved and participating in our, in our road map. So make sure to check that out. And I also want to note on that >>Hello can real quick. I'm sorry. Yeah, I talk about our road map all the time, but honestly folks out there are PMS are in their our ceo is in there that we do watch that. That is our roadmap is extremely, extremely important to us. So any features complaints, right, joining the conversation. That's a great way to get uh to interact with Docker in our products. Right. We we really highly valued the road map. Okay, back to your mama, sorry. >>Oh absolutely. And if you want to see us be even more responsive to what you need to participate in that road map discussion. That's really great. Um a couple of things coming up, just want to put the spotlight on. We have at 3 15 what's new with with desktop from our own ue cow. So I highly recommend that you attend that session and of course there's the Woman in tech live panel. So this is very exciting, moderated by yours truly and it has putting a spotlight on our women captains and our women developers. So that's very exciting. But I also hear that we're doing there's a session with jay frog coming up so peter, why don't you talk about that a little bit? >>Yeah, we have a session coming up from our partners from jay frog around devops patterns and anti patterns for continuous software updates. And another one that I'm extremely excited about is uh RM one talk from our very own Tony's from Docker. So if you have an M one and you're interested in multi arc architecture builds, check that out. It's gonna be a great, great talk. Um and then we have melissa McKay also from jay frog, talking about Docker and the container ecosystem and last but definitely not least. We'll check them all out there. Going to be great. But Brett is going to be doing I think the best panel that I'm gonna go watch and he made up a new word, it's called say this. I'm all about the trending new words today about this is gonna be awesome. Yeah. Yeah >>I'm going to have the battle bottle of the panels. >>Yeah. Yeah well mine's before years so we're not competing. So yeah we have we have two excellent panels in a row to finish off the day and just seven list is basically how to run, how can we run containers without managing servers? So it doesn't mean you don't actually have infrastructure just let's not manage service. Um Yeah and we we uh need to wrap it up and >>Uh before we do that I just want to um tell everyone that we actually have a promotion going on. So we um for those that sign up for a pro or team subscription, we're offering a 20% off so there's the U. R. L.. You can check out what the promotion is and this is for a new and returning users so you can use the promo code dr khan 21 all the information is on the website are really encourage you to check that out promotion for 20% off, join us for our panels. And we're doing a wrap up at five p.m. Where we'll have our own Ceo and that wrap up portion. Look forward to seeing there. All right, >>thank you too. All right everyone we'll see you on the next go around coming up next me and some other people awesome and Yeah. Mhm. Mhm. Yeah. >>Yeah. Yeah. Mhm. Is >>a really varied community. There's a lot of people with completely different backgrounds, completely different experience levels and completely different goals about how they want to use Docker. And I think that's really interesting. It's always easy to talk about the technology that I've used for so many years. I really love Doctor and I can find so many ways that it's useful and it's great to use in your day to day work clothes. I've >>used doctor for anything from um tracking airplanes with my son, which was a kind of cool project to more professional projects where we actually Built one of the first database as his services using docker even before it was 10 and I was released and we took it further and we start composing monitoring tools. We really start taking it to the next level. And we got to the point where I was trying to make everything in a container, I love to use >>doctor to make disposable project so I can download the project and it's been that up using Docker compose or something like that in a way that every developer that works in the project doesn't even need to know the underlying technology doesn't just need to run Docker compose up and the whole project is going to be up and running even if >>you're not using doctor and production, there are a lot of other ways that you can use doctor to make your life so much easier. As a developer, you can run your projects on your machine locally. Um as a tester you can actually launch test containers and be able to run um dependencies that your project requires. You can run real life versions so that um you're as close to production as possible. >>I was able to migrate most of the workloads from our on from uh to the cloud. Running complete IEDs inside a docker or running it or using it basically to replace their build scripts or using it to run not web applications but maybe compile c plus plus code or compile um projects that really just require some sort of consistency across their team, >>whether it be a web app or a database, I can control these all the same. That was really the power I saw within Doctors standardization and the portability >>doctor isn't the one that created containers uh and uh but it's the one that made it uh democratically possible, so everyone use it. And this effort has made the technology environment so much better for everyone that uses it, both for developers and for end users. So this >>past year has been quite interesting and I think we're all in the same boat here, so no one has, no one is an exception to this, but what we all learn from it is, you know, the community is very important and to lean on other people for help for assistance. >>Yeah, it's been really challenging of course, but I think the biggest and most obvious thing that I've learned both on a personal and a business perspective is just to be ready to adapt to change and don't be afraid of it either. I think it's worth noting that you should never really take it for granted that the paradigms of, you know, the world or technology or something like that aren't going to shift drastically and very, very quickly. >>I'm looking forward to what is coming down the pipe with doctor. What more are they going to throw our way in order to make our lives easier? >>It's very interesting to see the company grow and adapt the way it has. I mean it as well as the community, it's been very interesting to see, you know, how, you know, the return to develop our focus is now the main focus and I find that's very interesting because, you know, developers are the ones that really boost the doctor to where it is today. And if we keep on encouraging these developer innovation, we'll just see more tools being developed on top of Doctor in the future, and that's what I'm really excited to see with Doctor and the technology in the future.

>> Announcer: Live from San Francisco, celebrating 10 years of high tech coverage, it's theCUBE! Covering VMworld 2019. Brought to you by VMware and its ecosystem partners. >> Welcome back, I'm Stu Miniman with my co-host, Justin Warren, and this is theCUBE, live from the lobby of Moscone North here in San Francisco. The 10th year we've had theCUBE and happy to bring back two CUBE alums. Which, of course, in 2010 we didn't even have the idea of a CUBE alum, we were just gathering some friends, some industry experts. To my right is Jaspreet Singh, who's the founder and CEO of Druva. Sitting next to him is Kit Colbert, who's the Vice President CTO of the Cloud Platform Business Unit at VMware. Gentleman, thanks so much for joining us. >> Good morning. >> Thanks for having us. >> All right, so Jaspreet, I remember talking to you when Druva was a new company and cloud native wasn't the thing that came to mind when we were talking about it. We've known for a long time how important data is, and protecting that and managing that, of course, is something the industry's been looking at a long time. But give us the update on kind of Druva and you brought along Kit, so we're going to be talking about some of the cool, cloud native multi-cloud modernization type things, how that fits in your world. >> Absolutely. If you think about the world, right? In 1998, say for a start, they would create a whole notion of size and no software and the whole picture, right? Since then applications went in size, then came developer tools which were in size, and now it's all about infrastructure and first your management which is getting to be a cloud native, public cloud orientated size world. To where Druva comes in. As the world gets more and more fragmented, the data gets more and more fragmented. The multiple versions of cloud are different parts of strategy. Data management has to get more and more centralized. Which is where Druva comes in and which is where me and Kit are together. I think as VMware build a strategy for multi-cloud. Pulling the whole VMC approach to multiple versions of public cloud. Druva is a great partner, to sort of bring the data management together. A single control plane to manage multiple versions of cloud deployment on a single plane. >> All right, great so Kit it sounds like VMC is the kind of key component work together. 'cause when I think at Druva, a lot of what I think of is SaaS. And SaaS isn't necessarily the first thing that I think of when I think of VMware, so... >> We're tryin' to get there, tryin' to get there Stu. >> Yeah, no but pull it together as to where your customers intersect. >> Yeah absolutely, so it's a great partnership and definitely really focused on rallying around VMware Cloud and native AWS. And the core idea there was that we could deliver a cloud service to our customers of our VMware infrastructure, right? And we'll become a SaaS company, transforming into that. And that's something that we've been very focused on strategically, right? And so VMware Cloud and AWS is really the first offering. But there's many more coming. So just earlier today we announced the availability of VMware Cloud on Dell EMC. This idea of bringing our cloud service, STDC as a service on premises, to customer data centers, to customer edge locations. And the cool part about it, as Jaspreet mentioned, is that this world is becoming more and more distributed and we're seeing that with just the number of STDCs and how they're proliferating everywhere and you do need that centralization in terms, from a management perspective in order to handle all that diversity. And so, that's the big focus for us, in terms of the infrastructure, kind of just the core compute, source, network but you then have to up-level and say, how do you think about the data? And that's really where this partnership comes in. >> Right, so Jaspreet so if I understand that correctly, what you're trying to do here is to provide one data management method, no matter where the data lives. So, I don't have to go and find one tiny thing for, oh okay, I've got this other weird bit in the corner here, that I need a special, dedicated data protection thing for, 'cause that's always difficult. Data protection is hard enough. I really don't need to have, oh how am I going to deal out of this particular thing? Oh, now I've got to go and get another tool. And learn how to use it, maintain it, keep everyone skilled in it. Well actually, I can just pick Druva and then I've solved that problem. >> That's right. I think we are more forward-looking, than backward-looking. So, what we're doing is, any new application comes into an enterprise. Think about, from a point of view of a new cloud, like a VMC, AWS deployment. If you're deploying, you know, a lot of new edge location or data centers or new cloud services, Druva's a perfect partner to bring data management, along with it. For a legacy application that you always had, you can keep your legacy vendor with you. Where it has a con wall, you can keep them as they remain in your enterprise. Bring Druva for the new applications at hence. All the new workload that are more cloud bound workload, is our core focus, hence the VMC partnership. >> Right, so does that mean I'll be able to use Druva wherever VMC is available? >> That's right. >> Yeah. >> Because you're expanding how many places I can get VMC now, I've noticed. >> Yeah, very exciting. >> That's very interesting >> It is, yeah, and I think that's again, the beauty of the partnership, is that we're doing a ton of work to deliver VMC to more and more locations. We've partnered with AWS, and now we've got global coverage, almost all the regions by the end of this calendar year. And now with VMware Cloud on Dell EMC , we can go wherever the customer is. They essentially give us a street address, and we can deliver hardware there and then operate it remotely and they can take advantage of that. And the cool thing about it, that all comes up to this control plan that we have running in the cloud and this is how we can interact with Druva. They can have a few simple APIs they can manage via us to access all those workloads that are distributed all over the place. >> Think of public cloud. Public cloud is nothing but Amazon's, initially was a concept of Amazon applying retail to IT. You can buy a resource anywhere in the globe at a fixed price point at certain SLA. That's the promise of, public cloud promise of VMC to get same VMware experience wherever you go across the world same price point. Same promise with Druva . The same data you put anywhere, can be managed, predicted end-to-end, same policy, same price point across the globe. >> And people often forget that part of it, that we're technologists. So people like to look at that the speeds and feeds and what does the technology do but there's, when you're running a business is actually a lot more to it and pricing models and things that technologists sometimes find boring. I love a good spreadsheet but something as, a simple pricing model where I can understand it and I know what it's going to do for me, was when I spin up a brand new application and I understand how am I going to manage this over the long term, how am I going to protect it, and what's it going to do for the the ROI on that? And what's that going to look like in three years' time? Not just turning up the brand new project. What is the operational cost of that going to look like? These are the kinds of things that people, I think are starting to get a lot more used to now that they particularly with cloud it's a much more operational model. It's not a build model. It's, yes build is one part of it, but you also need to be able to run and manage it >> And think of what we call the world of two ransomwares. There is a ransomware when you're worried about a data breach or data loss and there's another ransomware we have to, your data production vendor or your hardware vendors say is, you know, give me five years of money up front with the promise to manage the data eventually. So in the public cloud world, it's pay-as-you-go on demand. You need a new application you spin up a new workload in VMC in AWS. You need data protection spin up right there and then, no pre-planning, pre-positioning, architecture reviews needed. >> And I think like, the great thing about Druva and what we're talking about here in this consistency of operations. How you're managing data, really goes into the whole strategy that VMware has around driving consistency across infrastructure as well. I think one of the big value propositions that we can help with is taking a lot of this very heterogeneous infrastructure with different capabilities, different hardware form factors and layering on our virtual infrastructure which simplifies a lot of that and delivering that consistent experience. And of course data management as we said is a key part of that experience. >> Yeah, you mentioned kind of the move of VMware towards being more of a SaaS player and working in those environments. One of the flags along that journey is VMware's always had a robust ecosystem. But in the cloud my understanding is you've released now a VMware Cloud Marketplace. Reminds me a little bit of a certain cloud provider that has a very well-known marketplace. Give us a little bit about it, and Jaspreet'll, of course tell us about the Druva piece of that. >> Yeah, absolutely. We're kind of really evolving our strategic aims. Historically we've looked at how do we really virtualize an entire data center? This concept of the software-defined data center. Really automating all that and driving great speed efficiency increases. And now as we've been talking about, we're in this world where you kind of have STDCs everywhere. On Prem, in the cloud, different public clouds. And so how do you really manage across all those? These are things we've been talking about. So the cloud marketplace fits into that whole concept in the sense that now we can give people one place to go to get easy access to both software and solutions from our partners as well as open source solutions, and these are things that come from the Bitnami acquisition that we recently did. So, the idea here is that we cannot make it super simple for customers to become aware of the different solutions to draw those consistent operations that exists on top of our platform and with our partners and then make it really easy for them to consume those as well >> And Druva's part of it. We were day one launch partner on the marketplace. Marketplace serves predominantly two purposes. One is, the ease of E-commerce, you can drive through a marketplace. Second, is the ease of integration. You have a prepackaged solution, which comes along with it. It's a whole beauty of cloud, exactly as I mentioned. We see cloud beyond technology. It's an E-commerce model most companies should adapt to. And as the part of the progress, our commitment is to be in marketplace day one. Druva is right now number one ISP globabally for AWS. So we understand the whole landscape of how E-commerce gets done on public cloud very very well, and we are super thrilled to be a partnership with VMC on the marketplace, the VMC Marketplace. >> It's another one of those important indicators. I think about VMware's Cloud journey. Cloud isn't a destination, it's not a location. It's a way of doing things-- >> Kit: It's a model, yep. >> So having this this marketplace way of consuming software and becoming far more like as you say, it's STDC, but with that software as a service on Earth. You can have STDC as a service. That's probably too many letters in that. >> We use that internally, yes the STDC, AAS (laughs). >> Seeing those features coming to VMware and the partners that you bring in to that ecosystem. And Stu and I we spoke before, it's like VMware is always been a great partner for everyone in that ecosystem and it does have a real ecosystem and we see it again this year at the show. That you have these partners who come in, and you're finding ways to make it easier for those integrations to happen in a nice, easy to consume way and customers like that. So the enterprise is a heterogeneous environment. If you just do one acquisition and all of a sudden, I've got two different ways of doing the same thing. So being able to have known trusted solutions to do that, where I don't have to spend ages and ages figuring out how to, how do I configure this? I don't actually make this do what I need it to do. It's like I'm trying to solve a customer problem. I'm not trying to build technology for its own sake for most of the customers. I just want something that works, and particular with data protection, I just want it to work. >> The owners aren't producing more back abutments. >> No, which, I don't think it should. it's kind of a shame. I used to be a back out man but we don't need anymore of those >> I think this is the idea. You talked in the beginning about this notion of service delivery and how can we take all these STDC's that we have out there that customers are running, and enhance their value and enhance the value to the customer's business by adding on these value-added services. So, I think that's one of the beauties of cloud marketplace is that they can very easily extend what they, customers can extend what they already have with these additional services. >> Jaspreet, VMware's been going through a lot of change. They've made acquisitions. I saw a number of announcements today, that I don't think I would have seen back in the EMC days of you know, some of the data protection solutions being baked into the platform. Tell us what it means to be a VMware partner today. >> I think it's great to see VMware innovating and making strong progress. I think in this world of constant change it can either be in the front end of, you can never never over-innovate. You can be in the front end of, being in the edge, driving change, driving Innovation, driving chain industry or taking a back seat and then be in HPE. So I think I love to see VMware what they're doing and making all the progress and great to be a partner in this change, in this journey to see as a strong partner. >> Yeah, I mean, we're not standing still and it's funny like. So one of the biggest announcements today in my mind is Project Pacific, this re-architecture of vSphere to building Kubernetes into the fabric of what vSphere is. And it's funny when you start looking at that because I think folks have a concept in their mind, of what vSphere is, right? It's VM-based and I have worked with it in certain ways. It's got a certain API or interface and we're fundamentally changing all that. We're rethinking, as I mentioned how we deliver our STDC's, our customers consume them. And so I think that notion of being at the forefront, we're very committed to that >> Kit, I'm glad you broke it up 'cause I'm still having a little trouble thinking through it. Now on the one hand, every company is going through this, we're going to containerize everything, we're going to make it microservices, every infrastructure component, now has that fundamental building block. Docker had a ripple effect on what happens, similar to what VMware had a decade before. But I look at Project Pacific and I'm like well, when Cloud Foundry was originally created, it was, we want back then we called it Paz, but I want a thin layer, and I don't want to pull VMware along for that necessarily. It might fit underneath it, but it might not. So help us understand as to like, how is this not like, a lock into what, you're going to use vSphere and you're going to have your license agreement with us every year and now you're going to be locked into this because this is your Kubernetes platform. >> Yeah, that's a good question. So look, I actually think it drives more openness because Kubernetes is an open platform and we're integrating that in, and we're leveraging the Kubernetes API. And so, the vSphere will have two northbound APIs, one of which is based on the existing VM-based one and the other one which is Kubernetes. And so partially, it's we're actually opening it up. The cool thing about what we can do with Pacific is that we have what, 300, 400000 customers running vSphere. They have an aggregate around 70 million workloads. We're able to take that massive footprint and move it forward almost overnight by building Kubernetes into vSphere. And so the way I look at it, is this is a huge force multiplier for our customers, this ability to move their fleet of applications forward at basically, zero cost, very little cost. And while leveraging all the tools and technologies, they already have. This is another good thing, that our partnership with Druva as well, is that because the way we've architected this, all the tools that use vSphere today and the vSphere's APIs, those APIs will see the Kubernetes pods and things that are provisioned and those tools can operate on those pods just like they can on VMs. And those things just work out of the box. So like if a customer gets specific and uses Druva, and they start provisioning some pods, into Kubernetes on vSphere, Druva will see those they can manage the data, it's all automatic. And of course, Druva can do extra cool things, like even get deeper integration there. But the point is that we've got, you know thousands of partners again who's out of the box that stuff will work. Now is that lock in? No, I actually think that because people are switching over to Kubernetes, they now have the ability to move that to a different Kubernetes environment if they so see fit. Anyway, so that's my quick answer >> Think about the world. Virtualization is practically free right now. What you pay for is the enterprise, once you pay for abstraction level, remove complexity, make my scale happen, and this is where you pay for the whole VMware stack. When the customer start deploying containers, they haven't seen the complexity they would see at scale. When you see the complexity in management and data plane and insecurity plane, then they would need the ecosystem of providers to solve those complexities at scale but as we're a think if Kubernetes takes off and production application, right now it's mostly dev and test, it goes to a production application, the world would need something which is a much more robust sort of control planes to manage it end-to-end >> Yeah, I mean, we solved a lot of the hard problems around running applications in production. And I think what we're doing with Pacific, is enabling all those cool innovations to work not just for existing apps but for new Kubernetes-based apps as well. >> All right, well Kit and Jaspreet, thank you so much. A lot of new things for everybody to dig into and I always appreciate both of you and your teams are very responsive and dig in. Be looking forward to more blog posts and more podcasts from your team and the like, to go into it more. For Justin Warren, I'm Stu Miniman. We have tons more coverage here at VMworld 2019. Thank you so much for watching theCUBE. (upbeat music)

>> Announcer: Live from Las Vegas, it's The Cube, covering AWS re:Invent 2017 presented by AWS, Intel, and our ecosystem of partners. >> Hey, welcome back everyone. Live here in Las Vegas, the Cube is covering exclusively the AWS re:Invent. We've got two sets. This is set one, set two behind me. We're here with a startup called Zettabytes, Rishi Yadav, Cube Alumni CEO, and Sudhir Janir, CTO. Hot new start-up, Zettabytes. Formerly, you're an entrepreneur, your other company's still going, Info Objects. Welcome back. >> Thanks for having us here. I dont know it's the seventh time, eighth time? I mean, we love Cube guys. Yes, so Info Objects is the mothership and doing really, really great, and today we are launching Zettabytes, which is our hybrid cloud, cloud integration platform. We are starting with AWS, and then it's going to have integration for the clouds. >> So start-ups are impacted, and we were talking yesterday about kind of a demarcation line between a point in time. I say 2012, maybe you can say 2014, if you were born before 2012 or 2014, you probably didn't factor the cloud as large scale as it is. But after that day, you're a new born start-up, you look at the cloud as a resource, an opportunity, so what's your perspective as an entrepreneur, a serial entrepreneur, you start a company, you look at the big beast in Amazon, opportunity, challenge, what's your view? >> So actually 2014 was an inflection point for two things. Number one is that the big data, big data, it started with the hyper scale companies, and at that time, you're talking about Facebook, and Yahoo and other places, but it was not enterprise-ready. And we suddenly saw the option. John, you have been following the big data directly from the, I think the cloud data basement days, right? So in 2014 it got a better option. And the things like security and governance, which were offered not much concern earlier, it became front and center. Another thing which happened was around 2014, 2015, timeframe, the public cloud, which were for eight, nine years, essentially AWS, that was about 70 start-ups about saving money for them. That also started getting an option, and the enterprise, and when you're talking about enterprise, there you cannot tell them that if you deploy 10 servers on AWS, it's going to save you $200,000. They would say you already have $500 million spent. We have these huge data centers, so they needed some more value than that. >> How about your company Zettabytes, so you're launching a new company, what is it, what does it do, why are you starting it? Take a minute to explain what you're doing. >> Yes, absolutely. So the Zettabytes idea came from this convergence of the big data, public cloud and IOT. And market is ripe for it, and the challenge was that we talked to a lot of customers, a lot of them have already started working in the cloud, and some of them were planning to start the journey in the cloud, and the challenge was that at the same time they also wanted to build a big data link, Andy talked about it a lot today, right, assuming the largest big data lake. So now the question was that do you really want to go the old school route in which you are using Hadoup and other services around it, and then you do lift and shift to AWS? And then you transform to PAS. So you spend one and a half, two years in doing Hadoup, and then you spend another one and a half, two years, doing the PAZ, that cloud-native transformation in a better way. And then realize that whether the clients are on AWS today, or they are going to be in one year, they need the same experience, the same cloud experience, the same AWS experience which they have on their AWS, they want on-prem. Now that includes the other cloud-native APIs, but also the agility and everything else. >> So let met ask Sudhir a question. So you're the CTO. I know you're technical too, so I have both of you. So the old days, I'm a developer, I have my local host, I'm banging away code, and then I go, okay I'm done. And I say, ship to the server for QA or whatever. And even the cloud. Businesses want that same kind of functionality on premise. They want to go to the cloud, so all the developers are changing, they want that local host like feel. They don't wanna have to write code, ship it to a server, put it through the cloud, they just want instant integration to Amazon. Is that what you're doing? >> Yeah. >> Did I get it right? 'Cause that seems what I think you're doing. >> Yes, you develop that seamless experience. So you have the same set of APIs, which you normally would do on AWS, so still use the same data, still use the same data blue CLI. Use all data blue APIs, we're accepted those APIs on this platform, build a good base, based on those APIs, now using Kubernetes, you decide where this workload will go. >> So one of the challenges of AWS though is that they release services like constantly. I think we had the announcer at the keynote today, it was like another hundred or so services that they were releasing. So how do you choose which ones? Do you support all of them, or do you focus on specific ones? >> No, first we are focusing on a few specific ones, which are mostly being used. We are starting with Lexi, for example, as three. Lamda, Kenesis, Kafka, and this bargain is DFS are there from day one also. And all of these are Lexi, we are doing Lexi, today official announcement, they have launched Kubernetes Now. Container management service. We have that flexibility from day one only. So we have that in our outlines, and using that, even for example, your workload says, some of the piece should run on that, on Lexi, on permalines. Some of the P should go to the cloud, that is also possible. >> So you're selling an appliance. >> Yeah, yeah. The one million Lexi, or Kubernetes million might run on the AWS, few of the menus might run on your uplines, you can easily Lexi's do the all the container management. >> This is model, they pay for the box, or is it a service? Or they get the box as part of a service? What's the business model? >> So we do both, so it's a (mumbles) format, as well as an appliance, so the beauty of appliances is that everything is already optimized for you, so that makes it very easy. But if a customer has a chosen hardware platform, and we can definitely deploy it on that also. And adding to the hunter services thing, I think that's a great point, that AWS has so many services now that can you really go and figure out which services are most optimized for your needs? So that's where you need a partner on prem-site, and that's what we are going to be, and another thing as Sudhir mentioned, the EKS which they announced today, Kubernetes, so you have Kubernetes on-prem, AWS is supporting Kubernetes, and we are also supporting Kubernetes, so if you want closer to that level, it's completely seamless. >> And you were saying before, your target is enterprise has been good, so the appliance delivery model and the simplicity of being able to manage a lot of different services. Clearly being able to manage things at scale is something that enterprisers are crying out for because otherwise I have to, AWS is great, if you wanna hand build everything yourself, it has all of those components that you can assemble like Lego, but if I'm an enterprise, I want to be able to do that at scale. Humans don't scale very well, so I need some technology to help with that. So it sounds like you are actually providing the leverage to get enterprise humans to be able to manage AWS. Is that a fair characterization? >> Absolutely, that is definitely a very important aspect of it, and another aspect of it is that if you do not want to have some workloads on AWS for one thing or another. IOT workloads by definition cannot be on AWS. Low intensive workloads. They cannot be on AWS. In the same way the workloads in which you need some actual level of security. So within your data center, as much as beat down the data center piece, you have your own security and governance. And you can do that, and that's coming back to your question that are we going to support all hundred services, yes, but the local execution we have only going to provide for some services, which by their very nature make more sense to learn on-prem. >> Yeah, keep the core services. >> Rishi: Core services. >> All right so how do you guys gonna sell this product, take us through the start-up situation, you're here, are you talking to customers? Why are they are buy you? What's the conversations like? When do they need you? Take us through your conversations here at re:Invent. >> Yeah, so before that, the AWS has been super successful for the green field applications. The new applications, the applications which are born in the cloud, but when it comes to transforming the existing application it becomes a big, big challenge. So a lot of customers are coming to us, they are interested in how I can seamlessly transform their-- >> John: What's an example workload? >> So the example workloads for us is going to be the big data workloads. Which we have specialized in for last so many years. So one of them can IOT. Sudhir, probably you can explain what that is. >> So that example could be for example from today's keynote, if you see Expedia case, or Lexi Goldman Sachs case, they spend a lot of time in converting their code to the AWS specific-word, right? Millions of lines, or billions of lines of code. What we are doing today, if you dealing with the application, tomorrow it could be future ready for AWS. It's more convenience, we are actually modeling your experience with AWS. >> So it's making for enterprisers to make that transition from what they're doing today across the cloud, because that's a big deal for them. >> Tomorrow when you are Lexi, then you go to AWS, your data will decide whether you want to earn your workload on our plans, or AWS. >> Okay, so your market is hybrid cloud, basically. People doing hybrid cloud should talk to you guys. >> Yeah, and code would be future proof. What you you are you developing today-- >> John: All right so is the product shipping? >> Yes, so we are in the early beta stage, we already have five beta customers. And the product is going to be ready in a week's time. >> So data now. >> Yeah, yes. >> Yeah, these guys are ready already. >> Open beta, restricted beta? >> It is going to be restricted beta for now. Then it's going to be open beta, so yes, we are going to five more customers in the next two months for the beta. >> Take a minute to explain the type of customer you're looking for. Are they all field spots, any more, you have five more spots, you said? >> Yeah, we have five more spots for the beta. >> John: Who are yo looking for out there? >> Any large enterprise which is planning to move to AWS, but are struggling with all the nitty gritties, looking at the hundred services, and how do you integrate your existing applications there. So how you could take baby steps, like so we are going to not just take that baby steps, but sprint through it, so that's what Zettabytes plans is for. >> Rishi, congratulations on the new start-up, launching here, Zettabytes, open beta, five more spots left. Check 'em out, Zettabytes, if you're doing hybrid cloud or true private cloud, they have five spots available. It's The Cube, bringing all the action, the start-up action here and also the conversations at re:Invent. I'm John Furrier, Justin Warren. We're back with more after this short break. (electronic jingle)

>> Narrator: Live from San Jose, California It's the CUBE, covering Big Data Silicon Valley 2017. >> Okay welcome back everyone, live in Silicon Valley, this is the CUBE coverage of Big Data Week, Big Data Silicon Valley, our event, in conjunction with Strata Hadoop. This is the CUBE for two days of wall-to-wall coverage. I'm John Furrier with Analyst from Wikibon, George Gilbert our Big Data as well as Peter Buress, covering all of the angles. And our next guest is Wei Wang, Senior Director of Product Market at Hortonworks, a CUBE alumni, and Oliver Chiu, Senior Product Marketing Manager for Big Data and Microsoft Cloud at Azure. Guys, welcome to the CUBE, good to see you again. >> Yes. >> John: On the CUBE, appreciate you coming on. >> Thank you very much. >> So Microsoft and Hortonworks, you guys are no strangers. We have covered you guys many times on the CUBE, on HD insights. You have some stuff happening, here, and I was just talking about you guys this morning on another segment, like, saying hey, you know the distros need a Cloud strategy. So you have something happening tomorrow. Blog post going out. >> Wei: Yep. >> What's the news with Microsoft? >> So essentially I think that we are truly adopting the CloudFirst. And you know that we have been really acquiring a lot of customers in the Cloud. We have that announced in our earnings that more than a quarter of our customers actually already have a Cloud strategy. I want to give out a few statistics that Gardner told us actually last year. The increase for their end users went up 57% just to talk about Hadoop and Microsoft Azure. So what we're here, is to talk about the next generation. We're putting our latest and greatest innovation in which comes in in the package of the release of HDP2.6, that's our last release. I think our last conversation was on 2.5. So 2.6's great latest and newest innovations to put on CloudFirst, hence our partner, here, Microsoft. We're going to put it on Microsoft HD Insight. >> That's super exciting. And, you know, Oliver, one of the things that we've been really fascinated with and covering for multiple years now is the transformation of Microsoft. Even prior to Satya, who's a CUBE alumni by the way, been on the CUBE, when we were at XL event at Stanford. So, CEO of Microsoft, CUBE alumni, good to have that. But, it's interesting, right? I mean, the Open Compute Project. They donated a boatload of IP into the open-source. Heavily now open-source, Brendan Burns works for Microsoft. He's seeing a huge transformation of Microsoft. You've been working with Hortonworks for a while. Now, it's kind of coming together, and one of the things that's interesting is the trend that's teasing out on the CUBE all the time now is integration. He's seeing this flash point where okay, I've got some Hadoop, I've got a bunch of other stuff in the enterprise equation that's kind of coming together. And you know, things like IOT, and AIs all around the corner as well. How are you guys getting this all packaged together? 'Cause this kind of highlights some of the things that are now integrated in with the tools you have. Give us an update. >> Yeah, absolutely. So for sure, just to kind of respond to the trend, Microsoft kind of made that transformation of being CloudFirst, you know, many years ago. And, it's been great to partner with someone like Hortonworks actually for the last four years of bringing HD Insight as a first party Microsoft Cloud service. And because of that, as we're building other Cloud services around in Azure, we have over 60 services. Think about that. That's 60 PAZ and IAZ services in Microsoft, part of the Azure ecosystem. All of this is starting to get completely integrated with all of our other services. So HD Insight, as an example, is integrated with all of our relational investments, our BI investments, our machine learning investments, our data science investments. And so, it's really just becoming part of the fabric of the Azure Cloud. And so that's a testament to the great partnership that we're having with Hortonworks. >> So the inquiry comment from Gardner, and we're seeing similar things on the Wikibon site on our research team, is that now the legitimacy of say, of seeing how Hadoop fits into the bigger picture, not just Hadoop being the pure-play Big Data platform which many people were doing. But now they're seeing a bigger picture where I can have Hadoop, and I can have some other stuff all integrating. Is that all kind of where this is going from you guys' perspective? >> So yeah, it's again, some statistics we have done tech-validate service that our customers are telling us that 43% of the responders are actually using that integrated approach, the hybrid. They're using the Cloud. They're using our stuff on-premise to actually provide integrated end-to-end processing workload. They are now, I think, people are less think about, I would think, a couple years ago, people probably think a little bit about what kind of data they want to put in the Cloud. What kind of workload they want to actually execute in the Cloud, versus their own premise. I think, what we see is that line starting to blur a little bit. And given the partnership we have with Microsoft, the kind of, the enterprise-ready functionalities, and we talk about that for a long time last time I was here. Talk about security, talk about governance, talk about just layer of, integrated layer to manage the entire thing. Either on-premise, or in the Cloud. I think those are some of the functionalities or some of the innovations that make people a lot more at ease with the idea of putting the entire mission-critical applications in the Cloud, and I want to mention that, especially with our blog going out tomorrow that we will actually announce the Spark 2.1. In which, in Microsoft Azure HD Insight, we're actually going to guarantee 99.9% of SLA. Right, so it's, for that, it's for enterprise customers. In which many of us have together that is truly an insurance outfield, that people are not just only feel at ease about their data, that where they're going to locate, either in the Cloud or within their data center, but also the kind of speed and response and reliability. >> Oliver, I want to queue off something you said which was interesting, that you have 60 services, and that they're increasingly integrated with each other. The idea that Hadoop itself is made up of many projects or services and I think in some amount of time, we won't look at it as a discrete project or product, but something that's integrated with together makes a pipeline, a mix-and-match. I'm curious if you can share with us a vision of how you see Hadoop fitting in with a richer set of Microsoft services, where it might be SQL server, it might be streaming analytics, what that looks like and so the issue of sort of a mix-and-match toolkit fades into a more seamless set of services. >> Yeah, absolutely. And you're right, Hadoop and Wei will definitely reiterate this, is that Hadoop is a platform right, and certainly there is multiple different workloads and projects on that platform that do a lot of different things. You have Spark that can do machine learning and streaming, and SQL-like queries, and you have Hadoop itself that can do badge, interactive, streaming as well. So, you see kind of a lot of workloads being built on open-source Hadoop. And as you bring it to the Cloud, it's really for customers that what we found, and kind of this new Microsoft that is often talked about, is it's all about choice and flexibility for our customers. And so, some customers want to be 100% open-source Apache Hadoop, and if they want that, HD Insight is the right offering, and what we can do is we can surround it with other capabilities that are outside of maybe core Hadoop-type capabilities. Like if you want to media services, all the way down to, you know, other technologies nothing related to, specifically to data and analytics. And so they can combine that with the Hadoop offering, and blend it into a combined offering. And there are some customers that will blend open-source Hadoop with some of our Azure data services as well, because it offers something unique or different. But it's really a choice for our customers. Whatever they're open to, whatever their kind of their strategy for their organization. >> Is there, just to kind of then compare it with other philosophies, do you see that notion that Hadoop now becomes a set of services that might or might not be mixed and matched with native services. Is that different from how Amazon or Google, you know, you perceive them to be integrating Hadoop into their sort of pipelines and services? >> Yeah, it's different because I see Amazon and Google, like, for instance, Google kind of is starting to change their philosophy a little bit with introduction of dataproc. But before, you can see them as an organization that was really focused on bringing some of the internal learnings of Google into the marketplace with their own, you can say proprietary-type services with some of the offerings that they have. But now, they're kind of realizing the value that Hadoop, that Apache Hadoop ecosystem brings. And so, with that comes the introduction of their own manage service. And for AWS, their roots is IAZ, so to speak, is kind of the roots of their Cloud, and they're starting to bring kind of other systems, very similar to, I would say Microsoft Strategy. For us, we are all about making things enterprise-ready. So that's what the unique differentiator and kind of what you alluded to. And so for Microsoft, all of our data services are backed by 99.9% service-level agreement including our relationship with Hortonworks. So that's kind of one, >> Just say that again, one more time. >> 99.9% up-time, and if, >> SLA. >> Oliver: SLA and so that's a guarantee to our customers. So if anything we're, >> John: One more time. >> It's a guarantee to our customers. >> No, this is important. SLA, I mean Google Next didn't talk much about last week their Cloud event. They talked about speed thieves, >> Exactly >> Not a lot of SLAs. This is mandate for the enterprise. They care more about SLA so, not that they don't care about price, but they'd much rather have solid, bulletproof SLAs than the best price. 'Cause the total cost of ownership. >> Right. And that's really the heritage of where Microsoft comes from, is we have been serving our on-premises customers for so long, we understand what they want and need and require for a mission-critical enterprise-ready deployment. And so, our relationship with Hortonworks absolutely 99.9% service-level agreement that we will guarantee to our customers and across all of the Hadoop workloads, whether it would be Hive, whether it would be Spark, whether it'd be Kafka, any of the workloads that we have on HD Insight, is enterprise-ready by virtue, mission-critical, built-in, all that stuff that you would expect. >> Yeah, you guys certainly have a great track record with enterprise. No debate about that, 100%. Um, back to you guys, I want to take a step back and look at some things we've been observing kicking off this week at the Strata Hadoop. This is our eighth year covering, Hadoop world now has evolved into a whole huge thing with Big Data SV and Big Data NYC that we run as well. The bets that were made. And so, I've been intrigued by HD Insights from day one. >> Yep. >> Especially the relationship with Microsoft. Got our attention right away, because of where we saw the dots connecting, which is kind of where we are now. That's a good bet. We're looking at what bets were made and who's making which bets when, and how they're panning out, so I want to just connect the dots. Bets that you guys have made, and the bets that you guys have made that are now paying off, and certainly we've done before camera revolution analytics. Obviously, now, looking real good middle of the fairway as they say. Bets you guys have made that hey, that was a good call. >> Right, and we think that first and foremost, we are sworn to work to support machine learning, we don't call it AI, but we are probably the one that first to always put the Spark, right, in Hadoop. I know that Spark has gained a lot of traction, but I remember that in the early days, we are the ones that as a distro that, going out there not only just verbally talk about support of Spark, but truly put it in our distribution as one of the component. We actually now in the last version, we are actually allows also flexibility. You know Spark, how often they change. Every six weeks they have a new version. And that's kind of in the sense of running into paradox of what actually enterprise-ready is. Within six weeks, they can't even roll out an entire process, right? If they have a workload, they probably can't even get everyone to adopt that yet, within six weeks. So what we did, actually, in the last version, in which we will continue to do, is to essentially support multiple versions of Spark. Right, we essentially to talk about that. And the other bet we have made is about Hive. We truly made that as kind of an initiative behind project Stinger initiative, and also have ties now with LAP. We made the effort to join in with all the other open-source developers to go behind this project that make sure that SQL is becoming truly available for our customers, right. Not only just affordable, but also have the most comprehensive coverage for SQL, and C20-11. But also now having that almost sub-second interactive query. So I think that's the kind of bet we made. >> Yeah, I guess the compatibility of SQL, then you got the performance advantage going on, and this database is where it's in memory or it's SSD, That seems to be the action. >> Wei: Yeah. >> Oliver, you guys made some good bets. So, let's go down the list. >> So let's go down memory lane. I always kind of want to go back to our partnership with Hortonworks. We partnered with Hortonworks really early on, in the early days of Hortonworks' existence. And the reason we made that bet was because of Hortonworks' strategy of being completely open. Right, and so that was a key decision criteria for Microsoft. That we wanted to partner with someone whose entire philosophy was open-source, and committing everything back to the Apache ecosystem. And so that was a very strategic bet that we made. >> John: It was bold at the time, too. >> It was very bold, at the time, yeah. Because Hortonworks at that time was a much smaller company than they are today. But we kind of understood of where the ecosystem was going, and we wanted to partner with people who were committing code back into the ecosystem. So that, I would argue, is definitely one really big bet that was a very successful one and continues to play out even today. Other bets that we've made and like we've talked about prior is our acquisition of Revolution Analytics a couple years ago and that's, >> R just keeps on rolling, it keeps on rolling, rolling, rolling. Awesome. >> Absolutely. Yeah. >> Alright, final words. Why don't we get updated on the data science experiences you guys have. Is there any update there? What's going on, what seems to be, the data science tools are accelerating fast. And, in fact, some are saying that looks like the software tools years and years ago. A lot more work to do. So what's happening with the data science experience? >> Yeah absolutely and just tying back to that original comment around R, Revolution Analytics. That has become Microsoft, our server. And we're offering that, available on-premises and in the Cloud. So on-premises, it's completely integrated with SQL server. So all SQL server customers will now be able to do in-database analytics with R built-in-to-the-core database. And that we see as a major win for us, and a differentiator in the marketplace. But in the Cloud, in conjunction with our partnership with Hortonworks, we're making Microsoft R server, available as part of our integration with Azure HD Insights. So we're kind of just tying back all that integration that we talked about. And so that's built in, and so any customer can take R, and paralyze that across any number of Hadoop and Sparknotes in a managed service within minutes. Clusters will spin up, and they can just run all their data science models and train them across any number of Hadoop and Sparknotes. And so that is, >> John: That takes the heavy lifting away on the cluster management side, so they can focus on their jobs. >> Oliver: Absolutely. >> Awesome. Well guys, thanks for coming on. We really appreciate Wei Wang with Hortonworks, and we have Oliver Chiu from Microsoft. Great to get the update, and tomorrow 10:30, the CloudFirst news hits. CloudFirst, Hortonworks with Azure, great news, congratulations, good Cloud play for Hortonworks. To CUBE, I'm John Furrier with George Gilbert. More coverage live in Silicon Valley after this short break.