>>from around the globe. It's the Cube with coverage of Coop con and cloud, native con Europe 2020 Virtual brought to you by Red Hat, The Cloud Native Computing Foundation and its ecosystem partners >>Welcome back. This is the Cube coverage of Cube Con Cloud, native con, the European show for 2020. I'm your host to Minuteman. And when we talk about the container world, we talk about what's happening in cloud. Native storage has been one of those sticking points. One of those things that you know has been challenging, that we've been looking to mature and really happy to welcome back to the program two of our cube alumni to give us the update on the state of storage for the container world. Both of them are oh, founders and CEOs. First of all, we have Xiang Yang from Rancher Labs, of course, was recently acquired by Sue Save it and the intention to acquire on and also joining us from early the relay. Who is with port works? Shang Amerli. Thanks so much for joining us. Thank you. Thank you. Alright. So early. I actually I'm going to start with you just cause you know we've seen, you know, a couple of waves of companies working on storage. In this environment, we know storage is difficult. Um, And when we change how we're building things, there's architectural things that can happen. Eso maybe if you could just give us a snapshot, you know, Port works, you know, was created to help unpack this. You know, straight on here in 2020 you know, where you see things in the overall kind of computer storage landscape? >>Absolutely. Still, before I kind of jump into port works. I just want to take a minute to publicly congratulate the the whole rancher team, and and Shang and Shannon And will China have known those folks for a while there? They're kind of true entrepreneurs. They represent the serial entrepreneur spirit that that so many folks know in the valley, and so, you know, great outcome for them. We're very happy for them and ah, big congrats and shout out to the whole team. What works is is a little over five years old, and we've been kind of right from the inception of the company recognized that to put containers in production, you're gonna have to solve, not just the orchestration problem. But the issue of storage and data orchestration and so in a natural kubernetes orchestrates containers and what works orchestrates storage and data. And more specifically, by doing that, what we enable is enterprises to be able to take APS that are containerized into production at scale and and have high availability. Disaster recovery, backup all of the things that for decades I t has had to do and has done to support application, reliability and availability. But essentially we're doing it for purpose with the purpose build solution for containerized workloads. >>Alright, shaming. Of course, storage is a piece of the overall puzzle that that ranchers trying to help with. Maybe if you could just refresh our audience on Longhorn, which your organization has its open source. It's now being managed by the CN. CF is my understanding. So help us bring Longhorn into the discussion >>thanks to. So I'm really glad to be here. We've I think rancher and port work started about the same time, and we started with a slightly different focus. More is exactly right to get containers going, you really need both so that the computer angle orchestrating containers as well as orchestrating the storage and the data. So rancher started with, ah, it's slightly stronger focus on orchestrating containers themselves, but pretty quickly, we realized, as adoption of containers grow, we really need it to be able to handle ah, storage feather. And like any new technology, you know, uh, Kubernetes and containers created some interesting new requirements and opportunities, and at the time, really, they weren't. Ah, a lot of good technologies available, you know, technologies like rook and SEF at the time was very, very premature, I think, Ah, the You know, we actually early on try to incorporate ah, the cluster technology. And it was just it was just not easy. And And at the time I think port Works was, ah, very busy developing. Ah, what turned out to be there flagship product, which we end up, end up, uh, partnering very, very closely. But but early on, we really had no choice but to start developing our own storage technology. So Long horn. As a piece of container storage technology, it's actually almost as oh, there's rancher itself. When about funding engineers, we hired he he ended up, you know, working on it and Then over the years, you know the focus shift that I think the original version was written in C plus plus, and over the years it's now being completely re written in Golan. It was originally written more for Docker workload. Now, of course, everything is kubernetes centric. And last year we you know, we we decided to donate the Longhorn Open Source project to CN CF. And now it's a CN CF sandbox project, and the adoption is just growing really quickly. And just earlier this year, we we finally ah decided to we're ready to offer a commercial support for it. So So that's that's where rancher is. And with longhorn and container storage technology. >>Yeah, it has been really interesting to watch in this ecosystem. A couple of years ago, one of the Q con shows I was talking to people coming out of the Believe It was the Sigs, the special interest group for storage, and it was just like, Wow, it was heated. Words were, you know, back and forth. There's not a lot of agreement there. Anybody that knows the storage industry knows that you know standards in various ways of doing things often are contentious and there's there's differences of opinion. Look at the storage industry. You know, there's a reason why there's so many different solutions out there. So maybe it love to hear from early. From your standpoint, things are coming to get a little bit more. There are still a number of options out there. So you know, why is this kind of coop petition? I actually good for the industry? >>Yeah, I think this is a classic example of Coop petition. Right? Let's let's start with the cooperation part right? The first part of time the you know, the early days of CN, CF, and even sort of the Google Communities team, I think, was really very focused on compute and and subsequent years. In the last 34 years, there's been a greater attention to making the whole stack works, because that's what it's going to take to take a the enterprise class production and put it in, you know, enterprise class application and put it in production. So extensions like C and I for networking and CS I container storage interface. We're kind of put together by a working group and and ah ah you know both both in the CN CF, but also within the kubernetes Google community. That's you talked about six storage as an example. And, you know, as always happens, right? Like it It looks a little bit in the early days. Like like a polo game, right where folks are really? Ah, you know, seemingly, uh, you know, working with each other on on top of the pool. But underneath they're kicking each other furiously. But that was a long time back, and we've graduated from then into really cooperating. And I think it's something we should all be proud of. Where now the CS I interface is really a A really very, very strong and complete solution tow, allowing communities to orchestrate storage and data. So it's really strengthened both communities and the kubernetes ecosystem. Now the competition part. Let's kind of spend. I want to spend a couple of minutes on that too, right? Um, you know, one of the classic things that people sometimes confuse is the difference between an overlay and an interface. CSC is wonderful because it defines how the two layers off essentially kind of old style storage. You know, whether it's a san or ah cloud, elastic storage bucket or all of those interact with community. So the the definition of that interface kind of lay down some rules and parameters for how that interaction should happen. However, you still always need an overlay like Port Works that that actually drives that interface and enables Kubernetes to actually manage that storage. And that's where the competition is. And, you know, she mentioned stuff and bluster and rook and kind of derivatives of those. And I think those have been around really venerable and and really excellent products for born in a different era for a different time open stack, object storage and all of that not really meant for kind of primary workloads. And they've been they've been trying to be adapted for, for for us, for this kind of workload. Port Works is really a built from right from the inception to be designed for communities and for kubernetes workloads at enterprise scale. And so I think, you know, as I as I look at the landscape, we welcome the fact that there are so many more people acknowledging that there is a vital need for data orchestration on kubernetes right, that that's why everybody and their brother now has a CS I interface. However, I think there's a big difference between having an interface. This is actually having the software that provides the functionality for H. A, D R. And and for backup, as as the kind of life cycle matures and doing it not just at scale, but in a way that allows kind of really significant removal or reduction off the storage admin role and replaces it with self service that is fully automated within communities. Yeah, if I >>can, you know, add something that that I completely agree. I mean, over the Longhorns been around for a long time. Like I said, I'm really happy that over the years it hasn't really impacted our wonderful collaborative partnership with what works. I mean, Poll works has always been one of our premier partners. We have a lot of, ah, common customers in this fight. I know these guys rave about what works. I don't think they'll ever get out for works. Ah, home or not? Uh huh. Exactly. Like Morissette, you know, in the in the storage space, there's interface, which a lot of different implementations can plugging, and that's kind of how rancher works. So we always tell people Rancher works with three types of storage implementations. One is let we call legacy storage. You know, your netapp, your DMC, your pure storage and those are really solid. But they were not suddenly not designed to work with containers to start with, but it doesn't matter. They've all written CS I interfaces that would enable containers to take advantage of. The second type is some of the cloud a block storage or file storage services like EBS, GFS, Google Cloud storage and support for these storage back and the CS I drivers practically come with kubernetes itself, so those are very well supported. But there's still a huge amount of opportunities for the third type of you know, we call container Native Storage. So that is where Port Works and the Longhorn and other solutions like open EBS storage OS. All these guys fitting is a very vibrant ecosystem of innovation going on there. So those solutions are able to create basically reliable storage from scratch. You know, when you from from just local disks and they're actually also able to add a lot of value on top of whatever traditional or cloud based, persistent storage you already have. So so the whole system, the whole ecosystem, is developing very quickly. A lot of these solutions work with each other, and I think to me it's really less of a competition or even Coop petition. It's really more off raising the bar for for the capabilities so that we can accelerate the amount of workload that's been moved onto this wonderful kubernetes platform in the end of the benefit. Everyone, >>Well, I appreciate you both laying out some of the options, you know, showing just a quick follow up on that. I think back if you want. 15 years ago was often okay. I'm using my GMC for my block. I'm using my netapp for the file. I'm wondering in the cloud native space, if we expect that you might have multiple different data engine types in there you mentioned you know, I might want port works for my high performance. You said open EBS, very popular in the last CN CF survey might be another one there. So is do we think some of it is just kind of repeating itself that storage is not monolithic and in a micro service architecture. You know, different environments need different storage requirements. >>Yeah, I mean quick. I love to hear more is view as well, especially about you know, about how the ecosystem is developing. But from my perspective, just just the range of capabilities that's now we expect out of storage vendors or data management vendors is just increased tremendously. You know, in the old days, if you can store blocks to object store file, that's it. Right. So now it's this is just table stakes. Then then what comes after that? There will be 345 additional layers of requirements come all the way from backup, restore the our search indexing analytics. So I really think all of this potentially off or in the in the bucket of the storage ecosystem, and I just can't wait to see how this stuff will play out. I think we're still very, very early stages, and and there, you know what? What, what what containers did is they made fundamentally the workload portable, but the data itself still holds a lot of gravity. And then just so much work to do to leverage the fundamental work load portability. Marry that with some form of universal data management or data portability. I think that would really, uh, at least the industry to the next level. Marie? >>Yeah. Shanghai Bean couldn't. Couldn't have said it better. Right? Let me let me let me kind of give you Ah, sample. Right. We're at about 160 plus customers now, you know, adding several by the month. Um, just with just with rancher alone, right, we are. We have common customers in all common video expedient Roche March X, Western Asset Management. You know, charter communications. So we're in production with a number off rancher customers. What are these customers want? And why are they kind of looking at a a a Port works class of solution to use, You know, Xiang's example of the multiple types, right? Many times, people can get started with something in the early days, which has a CS I interface with maybe say, $10 or 8 to 10 nodes with a solution that allows them to at least kind of verify that they can run the stack up and down with, say, you know, a a rancher type orchestrator, workloads that are containerized on and a network plug in and a storage plugging. But really, once they start to get beyond 20 notes or so, then there are problems that are very, very unique to containers and kubernetes that pop up that you don't see in a in a non containerized environment, right? Some. What are some of these things, right? Simple examples are how can you actually run 10 to hundreds of containers on a server, with each one of those containers belonging to a different application and having different requirements? How do you actually scale? Not to 16 nodes, which is sort of make typically, maybe Max of what a San might go to. But hundreds and thousands of notes, like many of our customers, are doing like T Mobile Comcast. They're running this thing at 600 thousands of notes or scale is one issue. Here is a critical critical difference that that something that's designed for Kubernetes does right. We are providing all off the storage functions that Shang just described at container granted, granularity versus machine granularity. One way to think about this is the old Data center was in machine based construct. Construct everything you know. VM Ware is the leader, sort of in that all of the way. You think of storage as villains. You think of compute and CPUs, everything. Sub sub nets, right? All off. Traditional infrastructure is very, very machine centric. What kubernetes and containers do is move it into becoming an app defined control plane, right? One of the things were super excited about is the fact that Kubernetes is really not just a container orchestrator, but actually a orchestrator for infrastructure in an app defined way. And by doing that, they have turned, uh, you know, control off the infrastructure via communities over to a kubernetes segment. The same person who uses rancher uses port works at NVIDIA, for example to manage storage as they use it, to manage the compute and to manage containers. And and that's marvellous, because now what has happened is this thing is now fully automated at scale and and actually can run without the intervention off a storage admin. No more trouble tickets, right? No more requests to say, Hey, give me another 20 terabytes. All of that happens automatically with the solution like port works. And in fact, if you think about it in the world of real time services that we're all headed towards right Services like uber now are expected in enterprises machine learning. Ai all of these things analytics that that change talk about are things that you expect to run in a fully automated way across vast amounts of data that are distributed sometimes in the edge. And you can't do that unless you're fully automated and and not really the storage admin intervention. And that's kind of the solution that we provide. >>Alright, well, we're just about out of time. If I could just last piece is, you know, early and saying to talk about where we are with long for and what we should expect to see through the rest of this year and get some early for you to you know, what differentiates port works from Just, you know, the open source version. So And maybe if we start with just kind of long or in general and then really from from your standpoint, >>yeah, so it's so so the go along one is really to lower the bar for folks to run state for workloads on on kubernetes we want you know, the the Longhorn is 100% open source and it's owned by CN cf now. So we in terms of features and functionalities is obviously a small subset of what a true enterprise grade solution like Port Works or, um, CEO on that that could provide. So there's just, you know, the storage role. Ah, future settle. The roadmap is very rich. I don't think it's not really Ranchers go Oh, our Longhorns goal to, you know, to try to turn itself into a into a plug in replacement for these enterprise, great storage or data management solutions. But But they're you know, there's some critical critical feature gaps that we need address. And that's what the team is gonna be focusing on, perhaps for the rest of the year. >>Yeah, uh, still, I would I would kind of, you know, echo what Chang said, right? I think folks make it started with solutions, like longer or even a plug in connector plug in with one of their existing storage vendors, whether it's pure netapp or or EMC from our viewpoint, that's wonderful, because that allows them to kind of graduate to where they're considering storage and data as part of the stack. They really should that's the way they're going to succeed by by looking at it as a whole and really with, You know, it's a great way to get started on a proof of concept architecture where your focus initially is very much on the orchestration and the container ization part. But But, as Xiang pointed out, you know what what rancher did, what I entered it for Kubernetes was build a simple, elegant, robust solution that kind of democratized communities. We're doing the same thing for communities storage right? What Port works does is have a solution that is simple, elegant, fully automated, scalable and robust. But more importantly, it's a complete data platform, right? We we go where all these solutions start, but don't kind of venture forward. We are a full, complete lifecycle management for data across that whole life cycle. So there's many many customers now are buying port works and then adding deal right up front, and then a few months later they might come back and I'd backup from ports. So two shanks point right because of the uniqueness of the kubernetes workload, because it is an app defined control plane, not machine to find what is happening is it's disrupting, Just like just like virtualization day. VM exist today because because they focused on a VM version off. You know, the their backup solution. So the same thing is happening. Kubernetes workloads are district causing disruption of the D r and backup and storage market with solutions like sports. >>Wonderful. Merlin Chang. Thank you so much for the updates. Absolutely. The promise of containers A Z you were saying? Really, is that that Atomic unit getting closer to the application really requires storage to be a full and useful solution. So great to see the progress that's being made. Thank you so much for joining us. >>Welcome, Shannon. We look forward to ah, working with you as you reach for the stars. Congratulations again. We look >>forward to the containing partnership morally and thank you. Still for the opportunity here. >>Absolutely great talking to both of you And stay tuned. Lots more coverage of the Cube Cube Con cloud, native con 2020 Europe. I'm stew minimum. And thank you for watching the Cube. Yeah, yeah, yeah, yeah, yeah, yeah

(techy music) >> Announcer: Live from Las Vegas, it's theCUBE, covering Dell Technologies World 2018. Brought to you by Dell EMC and its ecosystem partners. >> We're back in not-so-sunny Las Vegas. You're watching theCUBE, the leader in live tech coverage. We're here at day three, wall-to-wall coverage of Dell Technologies World, the Inaugural Dell Tech World. I'm here with Tom Sweet, who's the CFO of the 80 billion dollar Dell Technologies empire. Thanks for coming to theCUBE. >> Happy to be here. >> So, really thrilled to have you on. I think it's the first time you've been on theCUBE. >> You guys usually don't let me on, so you know, they're letting me out a little bit, I guess. >> Well, I say, we're happy to have you. So, a lot going on, obviously, in your business. I mean, let's start with, you know, we're a couple of years into the integration, you guys, obviously, you dug in. You've got a pretty good handle on this, like I said, 80 billion. When it started, you guys were in the low 70's, I believe, so you've seen some growth. Not a lot of growth in this business, but you guys are growing. So, give us the rundown of your business. How should we think about the Dell empire, as I called it? >> Look, I think that we're very happy with the progress that we've made since the integration, which was back in September of 16, so over the last 20 months, we've been focused on building velocity within the business, and particularly, as you think about our major tranches of product, if you will. So, you know, our client business is growing quite nicely, as we evidenced by last year, 21 consecutive quarters of share gain. Pleased with our server velocity. Last year, we were number one in servers. Storage has been a bit of a work in process, as you know, but I think we're beginning to see a little bit better velocity in that business. Clearly, we have VMware, and we have Pivotal. So, what's been really interesting is how the companies have come together, and the offerings have come together in a much more integrative fashion, which has been fun to watch and fun to sort of help put this thing together. The customer buy-in and the customer acceptance of the vision and the story has been pretty remarkable, from my perspective. >> And, the client's side of the business surprised me anyway. It's like the gift that keeps on giving. >> Well, you know, what was it, 10 years ago, they said the PC was dead, you know, and today it's roughly half of our revenue and growing nicely. I think the secret, as always, as you know, is work gets done on a keyboard. The tablet and the phone become an and device, a notebook and a tablet, a notebook and a phone. We keep innovating form factors or innovating the interfaces with the device, so we're pretty excited about it. It's just a really good, really great business for us. >> I think what Michael said in his keynote, when IBM announced the end of the PC era, since then there's been four, I think he said four billion PCs shipped. >> Yes, exactly. >> It's astounding. >> Clearly, the overall market for PCs is flat to slightly down, it's going to be in that range, but in that type of market, our point of view, as you well know, is you have to take share, you have to grow. The team's done a nice job. Jeff Clark and his product team have done a really nice job around form factor innovation, 87 CES awards this year for PCs, so really good business. >> And, from a CFO's perspective, it's throwing off cash, you're comfortable with, what is it, a 5% to 6% operating margin, basically? >> We typically think of that as about a 5% op inc business, but it provides huge amount of scale for us, if you think about our supply chain, our ability. It's a nice, predictable, really strong cash flow business for us, so it's a good business. >> And, the higher end, the server business and the storage business is what now, around 7% op inc, and there's a lot of upside there, potentially? >> Yeah, it's a little bit higher than that, but there is upside there as we continue to drive the business and drive efficiency in that business and, as you know, we're doing a lot of work right now in our storage area in terms of how, over time, do we evolve that road map around the solution set, and working more in an integrative fashion with VMware around the convergence of hardware and software, into more thoughtful and more smarter designs or in the storage platforms. So, you know, that business is, that's going to be a really interesting business for us over the next year or so. >> Well, really, VMware, people look at Dell as a hardware company, but VMware is not a hardware company. It's software, marginal economics. It throws off 50% roughly of your operating cash, I mean, it's a gem. >> We're actually huge fans of VMware. It's a great company, growing very nicely, and extraordinarily well-positioned, as you think about the world of Multi-Cloud. And, what we're doing and how they're thinking about any device to any device, any Cloud to any Cloud, that whole story is resonating, and from a CFO perspective, you got to like software margins. It's a good business. >> So, let's talk about the debt a little bit, because I think there are a lot of misconceptions out there. You paid down $10 billion in debt, I think it's roughly around 40 billion now. Is that about right? >> A little bit higher than that, because we've added some debt related to our GFS business, but I think the way you ought to think about our debt load is that very manageable, we're right on the schedule we thought we were going to be on, in terms of debt paydown, and we'll continue to pay down debt, from a capital allocation focus. You know, 60-70% of our capital is focused on debt paydown, doesn't mean we're not investing in the business properly, 'cause I think we are, and we're continuing to fuel those investments, and then we're going to add some debt, because our DFS, or financing business, we use debt to fund that business, but that's a little bit different sort of perspective. We think about that debt separately and different than the core debt of the business, and our analyst community and the credit rating agencies think about that debt differently. And the GFS business is growing very nicely in terms of originations, and it's a great tool for our sales force to help in terms of the financing capacity and credit capacity for our customers. So, it's a good business. >> And, let's talk taxes for a second. I know it's kind of off the normal CUBE interviews, but a lot of people talk about that. All the legislation tax, legislation, that's bad for Dell, you can't write off that debt, but essentially, from what I've read, it's a net neutral to you guys. >> It's generally neutral to maybe slightly negative, as we understand the debt regulatory environment today, with the US tax reform. They did put some limits on how much interest, and there's transition rules around how much you can deduct, but you know, you got to lower corporate tax rate in the US, you also have the immediate expensing of CapX, and then you've got the repatriation toll charge, but when you throw it all together, slightly negative, but it's not a big cash dynamic for us, it's not a driver of, geez, we've got to go do something with our capital structure as a result of that. So, that's just a misconception that's out there right now. >> And then, you've told me earlier that the Pivotal move was not about delevering, it was a move that you guys have been planning for a while. I mean, that was in the works before the merger. Talk about that. >> Look, I mean, Pivotal's done, their growth at Pivotal and the acceptance of Pivotal's been remarkable. So, that conversation around should we IPO, when should we IPO, has been in the works for over a year, and Pivotal needed to continue to grow and mature a little bit in some of its processes and making sure that when you decide to go public that you're ready to go public. For that last year, that's what they've been working on. But in terms of the actual, to go public and the proceeds from that, that's all about giving Pivotal their own capital to fund their business growth and dynamic. We could have done it at the Dell level, Dell technology level, but I thought it was more appropriate, the size of company they are, that they have their own capital. They're doing business with over half of the Fortune 500, so they need some substance, and it's a great retention to 'em, in terms of having currency for their employee base, for both their attracting talent and retaining talent. >> A Silicon Valley company with its own, I've visited those offices. It's not the normal corporate office down on Howard Street, right? >> No, you know, they're doing the huddles in the morning, but that's what's interesting about Dell technology, the family of businesses, the different cultures, the different capabilities, it's a pretty remarkable set of companies with it. >> The market's booming right now, hope it continues, knock wood here, but what are the assumptions you're making in your business, maybe the economy, you could touch on that. >> We look across the top 45 economies right now, where we do business. They're all growing, GDP's growing, so we feel pretty good about the overall economic environment. Interest rates are slightly rising, but not a big issue for us, even with our debt load. We're about, roughly 70% fixed, 30% floating, so the fact that LiveBoard's up a little bit isn't a big deal. Currency's relatively stable, so we're positive, and companies and institutions are spending on IT, the round of innovation that's being driven, the round of investments and the changes in business models. Typically, one of the first things they go do is they invest in IT to help with that digital transformation, that IT transformation. We're bullish on the economics, so it's a good platform for us. >> One of the things I've said for quite some time now is that the merger between Dell and EMC was inevitable. You had these pressures of Cloud, you needed a company who was comfortable, with a lower margin business and had a profitability model that could thrive, and it made a lot of sense. But, you don't have a public cloud, and you're comfortable with that, but you've done a lot of work with, I'll call, utility pricing. Can you talk about that a little bit? >> Well, one of the feedback things we got from our customers is, hey, look, I like the economics of the Cloud. I like this pay-as-you-consume, pay-as-you-grow, that flexibility to scale up, scale down, so through our Dell Financial Services and using our own balance sheet, we have put together flexible consumption models, so I can offer you a pay-as-you-grow, pay-as-you-consume, or we can do a straight out utility where the assets are on my balance sheet and you're paying a monthly fee, if you will. So, all we're trying to do there is to normalize the economics for our customers, say, hey, I want you to take economics out of your decision about whether you want to go to the Cloud or not, because we can offer that capacity and capability. And, let's really talk why, and what's the purpose, and what's the work load, what's the problem that you're trying to solve? >> And, you obviously recognize that as radical revenue. >> Yeah, absolutely. >> I'm guessing it's not meaningful, like a software company shifting from a perpetual model, or is it? >> Well, I think over time you're going to see the rise in these types of models. Customers are interested, as a service models. So, there is interest in that, and I think you'll see that piece of the business grow over time, but I don't think it's going to be a step function change. But, again, it's just another example, I think, of Dell Technologies offering customers what they want and in different and innovative ways to do business with us. >> One of the things that EMC did, was they did a lot of M&A. That's kind of how EMC innovated, no offense to my friends from EMC, but they fill gaps. And, a lot of times, those gaps created huge overlaps. You guys are addressing that carefully, I understand that. How has the merger, the debt, affected your ability to do M&A? How critical is that to you guys, because you are very acquisitive, obviously, as well? >> We are still very active, as we look at the technology trends and what type of capabilities and new technologies are on the horizon, so we haven't done a lot of M&A since the acquisition of EMC. We've principally focused on the integration, but if you look at VMware, they've done acquisition, we've done a couple of really small tuck-ins within the family, but we'll continue to look at that. And, one of the other tools in our tool chest, as you know, is Dell Technologies Capital. I think we've got roughly over 81 investments in technology startups, principally on the West Coast, but some overseas, and very focused on security, AI, machine learning, next-generation storage capabilities, and so we get exposed to that type of technology, and we put our R&D teams together with them, so I feel like we're in a reasonable position, and as the business tells me they need something, we'll go evaluate it. >> I want to ask you a question about your peers, the CFOs. I'm getting to know you a little bit. I think you're a rock star CFO. One of our analysts said to us the other day, Tom Sweet is a stud, I said, yeah, it's the make-up on theCUBE. >> I don't know about that. >> So, what's going on in the, well, you've got a big job, and you've got a really good handle on what's going on here. What's going on in the world of CFOs these days? I mean, obviously, you've got stuff like GDPR that gets in there, but digital transformation is obviously a huge theme among the C-Suite. Security is a board level issue. What kind of discussions are you having with your peers these days? >> Look, I mean, most of the conversations tend to be around two or three different areas. One is how do you think about how does the finance function and our capabilities change over the coming three, five years, right? How do you think about the use of AI, machine learning, and in the processes of the company? And, what is everybody doing to innovate around that? That's a pretty common conversation we're having. You know, security cyber is a huge conversation point in terms of how is your board looking at it, how are you thinking about it. Since we're CFOs, we're always talking about how much money, what's that investment profile you need to have there, in terms of what's the right amount? As you well know, you can spend a lot of money there. Are you guaranteed of a perfect defense? Absolutely not, so that tends to be a common area, but more importantly, there's this whole comment, this whole big data conversation that's also happening around how do you help the business make better decisions? How do you add and drive value back to the business? How are you using advanced analytics to drive insight back into the business, the various businesses? So, pretty much the same sort of conversations we're having with our customers, we're having internally, or amongst the CFO community. >> A lot of risk management, obviously, >> Yeah, absolutely, absolutely. >> goes into that equation. >> I mean, inside of tech or outside of tech, are there companies or CFOs that you sort of follow, admire, kind of models that you look at? >> Look, there's some great CFOs that I've had the opportunity to have interactions with. You know, Mark Hawkins at Salesforce is a great CFO, also a good friend, Amy up at Microsoft, really doing a really nice job up there, and then Bob Swan at Intel. So, we tend to sort of be industry-organized, just because that's how we interact, but they're all doing nice jobs and really interesting innovative things within the context of their companies' business models. >> Have you changed the sources of where you guys get information? Obviously, your peers is probably number one, but as the digital world comes forward, have you sort of changed the sources, or still sort of the Wall Street Journal every day? >> Well, it's guys like you, right? We're all watching the blogs and, look, the amount of data and information that's flowing these days can be overwhelming, so I tend to be, I'm looking at industry publications, I'm looking at some of the online blogs in terms of trying to understand where are our competitors headed, where is the industry headed, what are the themes out there? You know, Michael's got a perspective with his leadership team that, hey, he wants us out in front of customers, so I spend roughly 30% of my time with customers and partners. You have to be aware of, obviously, what's going around in the industry, not only to be thoughtful and intelligent, but to also help think about where do you position the company, three and five years down the road? And, helping Michael in that thought process, and helping the leadership team in that thought process. >> Well, Tom, it's been a real pleasure getting to know you a little bit, and watching you guys in action. Wish you best of luck. >> I appreciate it. >> Thank you so much for being on theCUBE. >> It was a lot of fun. >> All right. Keep it right there, buddy. We'll be right back with our next guest, right after this short break. You're watching Dell Technologies World, live on theCUBE. (techy music)

>> Is about what our youth is, and who we are today as a country, as a universe. >> Narrator: Congratulations, Reggie Jackson. You are Cube alumni. (gentle music) Live from Silicon Valley it's The Cube covering Google Cloud Next '17. (upbeat music) >> Hi, welcome back to The Cube's coverage of Google Next 2017 happening in San Francisco. We're shooting live from our 4,500 square foot here in Palo Alto in the heart of SiliconANGLE. Happy to welcome back to the program, I guess we haven't had him for a little while, but one that we know quite well, Ron Bianchini who's the CEO of Avere. Thanks for joining us. >> Thanks for having me. >> All right, so Ron, for our audience, why don't you give us the update? What's happening with Avere the company itself, and what brings you guys, which I think of you, no offense, you guys are infrastructure company I think of on there. How does cloud fit into the whole discussion you guys are having, and your customers? >> That's great, great segue. So, we started out as an infrastructure company and really what Avere learned to do, our whole IP, actually let me start this way. We started in 2008. Think about where the world was in 2008. People were trying to figure out how to get flash into the data center. And what we did is we came up with a storage system, a NAS server, that knew about two types of storage. It knew that there was very high performance nearby precious flash storage, but that big bulk storage, much cheaper, 1/10 the price disk was a high latency away. And we're able to take that solution, and we started out in the data center, we went after very high performance applications, but showed how you could do it at very low cost. >> It's great, nine years later, I mean, storage is infinite and free, right? >> That's right. The good news for us is the world is very much in the same place. The cost delta between flash and disk has stayed at 10 to one. Both have gotten a lot less expensive, but that difference between the two has stayed. It turns out a solution that knows how to use local high performance flash and store big bulk data at high latency away is an ideal solution for the cloud. And really what we're helping customers now is we're helping customers that are in the data center, in the Enterprise data center, we're helping them adopt cloud. And it works two ways. We support the gateway model where you can keep your compute on-prem and put your big bulk storage in the cloud, and we enable that model without seeing any delta, any change in performance or availability. But we also do the opposite of that, we enable customers to put their compute out in the cloud, and now the big bulk capacity could either stay in the cloud or could be on-prem. So really, I think about us as an enterprise data center play, just like you said, but now we're helping customers take baby steps and slowly adopt the cloud. >> All right, so terms I heard from Google this week, they talked about building the planetary scale computer. They talked about Google Spanner which gives us global, the time synchronization across the globe, the things that those of us with storage backgrounds, it's like, boy these are big, heavy challenges. >> Ron: Big words, right. >> Talking about some of the things, just physics that we try to figure all that. So, how do you guys fit into that? I mean, doesn't GFS, Google File System, solve all these issues for us? >> Right, great. So, one thing to understand is that enterprise storage uses a very different consistency model than Google Storage. So, there's a theorem called the CAP principle, C-A-P. It's consistency, availability, and partition tolerance. And basically what the CAP principle says is, of those three parameters, pick two, because it's impossible to build a storage system that does all three. And really, GFS is all about availability and partition tolerance, because they have big, scalable solutions. What it doesn't give you is exact consistency, and that's what NAS solutions do. NAS solutions are really the high consistency, still partition tolerant because you have big distributed scale systems, but you don't get that high availability piece. And it turns out, in the enterprise there are times when you need high availability storage, that's what you get from Google's file system, but then there are also times you need high consistency storage, that's what you get from an Avere solution. Imagine a bank account where you deposited a million dollars, and then you withdraw a million dollars from two locations, maybe 10 seconds apart. If you don't have a high consistency model, it might be possible to withdraw money from both places. That's what NAS guarantees. >> Ron, I want to get your viewpoint, I'm sure you talk to a lot of your customers. What's their mindset of cloud today, and what are the kinds of conversations that you're having with people stop by your booth at Moscone West. >> I think you said it right, Google is proposing big, scalable, huge features that the customers are trying to get access to, but moving everything from the data center into the cloud all at once to get them is a big, scary step. And so really what we enable people to do is to take baby steps. If you want to move a little bit of your capacity to the clouds, or petabytes of storage in the clouds, like one of our Genomics customers does, you could do that. Your compute and a lot of where they start in storage stays on-prem, but now they're leveraging the cloud for big, scalable capacity. Then we have other customers that want access to the compute and the performance of the scaling you can get. We allow them to get access to that as well. >> Any commentary on, I think about just the trend itself. There's no doubt how big cloud is and how fast it's growing. When we look on the data side Diane Green threw out a number that only 5% of the world's data sits in the public cloud, and that's going to shift. We know that there's a lot of compute-heavy workloads that really started out in those environments, or are leveraging that. So, there's a lot of kind of reasons why we haven't had the data there. We are starting to see some rapid acceleration. What do you see happening in the environment? >> I think that's right. I think the 5% number just gives us a window into how big this cloud movement is, how much is still left to be accomplished. We talk about cloud, cloud, cloud, as if it's already happened, but we're only at the cusp of what's possible. And that's really what we see as this next big phase of the cloud is ingest, is cloud adoption, it's migrating applications and storage into the cloud. >> Yeah, you said what, the future's already here, just unevenly distributed. >> That's right. It hasn't quite made it yet. >> You guys are headquartered in Pittsburgh. >> We are. >> I'm out of Boston. I always joke every time I come out here, it's like okay, I'm going to go spend a week in the Valley and in San Francisco, then I'm going to go back to the real world where I'm not seeing autonomous vehicles in front of me. You guys have some cool autonomous cars driving around Pittsburgh these days? >> Ron: We absolutely do. >> And not everybody is fully cloud-native, serverless and everything else like that. What are you seeing in the marketplace, what's interesting you these days? >> There's no doubt that in the future world all data, all applications, everything will be in the cloud unless there's a very important reason to have it nearby. We think with our Genomics customers, it has to start where the patients are. It has to start on-prem, and then it gets migrated to the cloud. But there's no doubt in the future all compute, especially the big, scalable things that we hear Google talk about will be there. The next five, seven years is all about how we get there from here. >> All right, and Ron, as people look at your company what should we be expecting kind of throughout the rest of this year as we look at you growing your future? >> It's all about making it easier to adopt the cloud. You're going to see higher levels of integration with our cloud partners, Google in particular. We do a lot of work with Google. You're going to see big steps as we move forward and make that integration better. >> You're working with the other cloud players, yes this is a Google show, but we want to talk about the environment. Lots of companies I talk to are like, "Look, yes Google's a player," but I talk to plenty of companies that, "Look, 3/4 of my customers are all on Amazon," and that's where a lot of the market is today. So, what's the breadth of the offering that you have to that? >> It is. We support all the three big cloud players, we support Amazon, Microsoft, and Google. What I will say is the Google team is very much focused on the enterprise, just like Avere is. And that actually helps us a lot. It's really helping us knock down customers and really helping get customers moved into the cloud. >> All right, Ron, I'll give you the final word. Takeaways for the week, anything else you want to share before we wrap. >> You know, it's exactly what you said. The cloud is coming, now it's just a matter of how we get there and watching the big momentum shift. >> I think Eric Schmidt said last year we were like kind of meet you were we are. This year it's, come on. It's, now's the time, we need to go. I think we understand how big cloud is going to be, it's one of the generational shifts that we're all going to be watching, and we're in the thick of it. So, thank you, Ron, for joining us, and we'll be back with lots more coverage here. We've got call-ins and people at the show itself doing dial-ins, pulling people in. Really broad community at this event, so stay tuned for lots more coverage, and you're watching The Cube. (upbeat music) (upbeat 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.