 Welcome back everybody to theCUBE on SiliconANGLE.tv. I'm Jeff Kelly with Wikibon. We're back here of course at Stratoconference covering all the action. My next two guests, we've got Sanjay Marimadaya, Worldwide Business Leader for Big Data at HP. Welcome. Thank you. And we're talking also with Tim Stevens, Vice President, Business and Corporate Development at Cloudera. Thank you. Welcome guys, thanks for coming on theCUBE. So obviously we want to talk a little bit about the relationship between HP and Cloudera, and of course partnering is a big part of the, one of the themes really of the big data world. The ecosystem is very vibrant. There's a lot of different parts involved to big data. So of course from the hardware to the software to the services. So why don't you guys start off maybe introduce yourself and tell us a little bit about kind of the relationship. And I know this goes back a little bit of ways. Absolutely. Thank you, Jeff. When you look at HP, partners are a big portion of our go-to-market strategy. We just completed our global partner conference last week in Las Vegas where our CEO, Meg Whitman, highlighted the importance of partners in our go-to-market strategy. So to that extent, when you look at this new evolving data management solutions, our partners bear a huge role. So when you look at big data and Hadoop, it's very similar to our hyperscale environment, large cluster growth. We have been selling a lot of Hadoop-based solution. Our customers were using both Cloudera and HP hardware and we have been very dominant in this market. But then we didn't have a focused effort with the go-to-market strategy. And that's what we did in June of 2012, announcing partnership with Cloudera. And we had reference architectures in last June with Cloudera. That's where we started. In September, we first had our reseller relationship where now customers instead of going to different entities, they can place one purchase order to HP and our technology services can take all the components and fulfill the needs. We followed that up with an app system. Which is an integrated solution. So we've come a long way since last June. Tim, so tell us a little bit about Cloudera's perspective on this. Were you finding situations where customers were coming to you and saying it would benefit us to have this kind of a partnership with a company like HP to bring in the hardware and some of the other solutions in kind of a more comprehensive offering? Yeah, absolutely. We were very pleased to see, as Sanjay mentioned, quite a bit of interest from customers in the HP Cloudera solution. And it was really driven from those customers and from those deployments that we had done together that we got together and started talking about how can we make this easier for the customers? How can we help these customers who have enterprise class requirements make it easier to consume, deploy, and manage their Cloudera Hadoop infrastructure? And from that, we drove to, as Sanjay mentioned, a relationship that we announced last summer. We've expanded on that relationship by having released the resale component of that in September, an app system, and we're very excited about what's in store for our common customers as we continue to forge and deepen the relationship that we have. So, of course, HP has numerous big data assets inside the company, so delve into some of the details about the partnership and how you're bringing to bear some of those other resources to complement what Cloudera does. Obviously, you've got Vertica, a very successful MVP data warehouse, analytic database that's very popular, and then, of course, Autonomy, which has been in the news for some other reasons, but also very successful software itself, anyway, on its own, right. So, how are you trying to bring those together in a way that actually is as seamless as possible for your joint customers? As Tim mentioned, we want to provide enterprise class big data platform to our customers. So, our partnership is not just at a go-to-market level. We have a very joint engineering collaboration. So, we have integrated HP cluster management utility with Cloudera Manager to be able to give that holistic management capability both from an infrastructure level, as well as a Hadoop and application level. So, that's one level of integration. In addition, we are having a monthly or bi-weekly engineering conversation how we can take various assets together. So, going forward, we also have Vertica, for example, on our app system, released the HP app system for Apache Hadoop in December. It is an appliance model where you have HP hardware, Cloudera, HP cluster management utility, and Vertica Community Edition pre-integrated with WebHUDFS connectors. So, customers can now bring data into Hadoop, which does all the map-reduce and batch-oriented analysis, and then move the data into more real-time analytics using Vertica. So, we have done that with collaborations with Cloudera. Interesting, because, of course, one of the big things we've been talking about all week is, in some of the news announcements, I've been around bringing SQL-like capabilities to do that kind of interactive queries to the Hadoop environment. So, we've seen announcements from Green Plum and others, so talk a little bit about that. So, do you have plans to even more tightly integrate Vertica into Hadoop environments? And how does Cloudera play a role in terms of, of course, you've got Impala and that kind of technology, which has some similar goals. So, how do you kind of square those different projects in a way that really, again, I really want to focus on customers, that they really deliver on what their needs are. Yeah, you know, I would start by sort of reminding everybody that the world is awash in data. The amount of information created on a daily basis and available to enterprises for analysis continues to grow exponentially. So, there's a lot of commentary, a lot of conversation about, you know, data in this repository or data in that repository or analytics here, analytics there. You know, the fact of the matter is, in today's environment with today's technologies, maybe five to 10% of the data is cost effectively, it can cost effectively be examined and looked at. Systems like Cloudera, systems like Vertica, and the partnership that we have with HP now make that data, you know, that 90 to 95% of those data assets that a typical enterprise can never touch, can never examine, can never explore in mind. It makes it all available. So, it really shouldn't be a conversation about, you know, is it going here, is it going there? The fact of the matter is, it's going to be available for the enterprise and the more tightly that we couple our solutions together, the workloads and the requirements of the enterprises are going to dictate where that data goes. Absolutely. Let's go ahead. Just for us, when you look at our HP Big Data Portfolio, Vertica and autonomy of our key assets, there's ArcSight, there's a lot of Big Data solutions, but Hadoop is an integral part of the solution. I mean, we look at Vertica with Hadoop, we sold a large cluster, more than 200 node cluster to a large bank in the US that used Vertica and Hadoop. So, the tighter integration has already been there. Now, we are gradually making sure that it's easier for customers to adopt it. So, we have Vertica on our appliance app system that we launched in December. We already announced that we were having an app system for Vertica in March. Vertica 6.1 already has web HDFS connectors which connect to Hadoop, can directly work on data already in Hadoop, or bring the data from Hadoop into Vertica, whatever the customers want to use. So, kind of whatever the style of processing is most. Depends on the use case. I'd end up being driven by the use case. Exactly. So, let's talk about a little bit about use cases. Maybe, you know, always want to hear about what's going on in the real world with real customers. What are some things that are happening between, with your joint customers, some of the more innovative or interesting use cases you've seen recently? Yeah, Tim and I have given several presentations on this. I mean, excited, we are excited about this partnership and we've solved very good problems. At the end of the day, Hadoop, the value of Hadoop is solving customer problems. So, prior to this, this high performance computing was limited to a certain set of research organizations. Hadoop is bringing innovation and making this technology available to the enterprises. So, to that extent, one of the popular use cases we have is again, Vertica plus Hadoop together where we have reduced the cost of doing that, reduced it by 90%. It's the 10th of the cost of doing this initial data processing and doing real-time analytics. That is becoming one of the growing use cases for us. In addition, we are integrating elements of autonomy. Autonomy is a fantastic product. It's been proven for over 10 years. The meaning-based computing, we are bringing that to Hadoop. Key view is one component which is already integrated with Hadoop. We can program, and we'll say, the good thing about autonomy is that you can do the analysis where the data is. So, it has over 400 connectors. So, we have connectors from autonomy into Hadoop, leaving data in Hadoop. You don't have to migrate. For a lot of use cases, I'll let Tim talk about a couple more. Yeah, you know, and they span every conceivable vertical. That's what's sort of exciting about the age in which we live, and really this next generation of capability that Cloudera has innovated against that Hadoop really represents. Financial services, retail, manufacturing, healthcare, online, offline, you name it, it all drives back to there's a multitude of data assets and there's a lot of value in understanding and exploring those assets. And it goes from retailers being able to combine both offline in-store purchases and customer transactions with their online behaviors and transactions. It's not possible to do that today with sort of an HP Cloudera system, it is. So, we see those kinds of use cases occurring over and over and over again, and frankly it's exciting to see what the customers are coming up with. They're starting to figure it out. They're starting to drive more value in their own organizations, and it's fun to see what they come up with. So, going forward, what can we expect over the next six months, it's 12 months. We're back here next year talking about the partnership between your two organizations. What are some of the key things you're going to be working on this year? Now, we're excited about some of the announcements Cloudera has made, backup and disaster recovery. We're already working on that. So, for example, HP announced SL4500 series which is high compute, high data storage density. It's a huge TCO conversation. In one rack, you can have up to 1.2 petabytes of data. Excellent, and we're going to showcase that in the Cloudera Roadshow, which we are jointly developing. We're a platform sponsor for that. So, SL4500 series, you'll see more of joint solutions. At the end of the day, the focus is to develop solutions so that customers can adopt it very quickly. So, we'll see more on the disaster recovery. The backup is one of the huge challenges for customers in Hadoop. So, people are thinking that you're going to park there. Where do you take for the backup? So, SL4500 series will be one of the backup solutions integrated with BDR. And you'll see more of our three power solutions with tiered storage coming into the picture and combining with our app system as the real log file analysis or the transaction processing. So, we have a very good joint engineering discussions going on. Yeah, and if I were to amplify on that with the announcements that we've made, the product innovations that we've released. You know, Cloudera is about making Hadoop enterprise ready. That's where we started. That was the vision of the company four plus years ago that this technology that brought so much value to the online world would have applicability to enterprises in general. And so, everything we do, every product innovation in Pala last year with SQL speed queries, disaster backup recovery that we announced just this week, navigator, data management, data auditing that we announced this week, it's all about taking the platform and making it more enterprise ready. And so, I think what you can see with Cloudera and HP over the coming year is a continued focus on extending the platform for enterprise class workloads, enterprise class value. And that's what's exciting to see. We're going to be leveraging the best of what we both do and really driving the frontier to help customers gain value from all of their data. Excellent. Well, Sanjay Marimadaya from HP, Tim Stephens from Cloudera. Thank you guys so much for coming on theCUBE. We really appreciate it. We're going to be watching Cloudera, your partnership and as you guys move forward. It's obviously a very exciting market, a lot happening. And again, thanks so much for coming on. 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