 At Big Data SV 2014 is brought to you by headline sponsors WAN Disco. We make Hadoop Invincible and Actian accelerating Big Data 2.0. Welcome back. Jeff Frick here on theCUBE. We're at Big Data SV 2014 in the heart of Silicon Valley at the Hildon Santa Clara just across the street from Strada over at the Santa Clara Convention Center. Back for another great segment. I've got with me this segment, John Chrysa, VP of Strategic Marketing at Hortonworks and Greg Kleinman, I think a first time on theCUBE, Director of Business Strategy at Red Hat. So welcome back. Thanks, Jeff. Thanks. So let's just jump right into it. Big announcement a couple of days ago of a new relationship, new partnership. So why don't we jump in and dig into the media? What did we announce two days ago? Sure. I'll start and Greg, you can go. It's a deepening of our strategic alliance between Hortonworks and Red Hat. We're super excited about this partnership and what it means for the enterprise in terms of their ability to adopt Apache Hadoop within their organization. Three principal elements around that. We're doing a bunch of joint engineering all in the open. We're going to have joint go to market activity and we're going to do collaborative support. So we're super excited about this partnership and we can sort of drill into what that means. Yeah. We also are very excited about this being Red Hat's 100% open source heritage. We're happy to partner with Hortonworks, which is also 100% open source company. And to really bring Hadoop into the enterprise and to wrap around some Red Hat enterprise technology to try to make it easier for large enterprises to adopt the Hadoop technology. And so that really appeals from the spectrum of users, from the analysts, the data analysts, and the scientists to the application developers, the operators who have to keep the infrastructure running, and the big data architects who have to bring all the data together for those application developers. So is there a big hole that needed to be filled or is it just a strengthening of what was before? I mean, how is it actually going to make it easier for the guy sitting waiting to implement some of these tools? Great question. And there's work that has already been going on between Hortonworks and Red Hat before in terms of making Hadoop easier to deploy, for example, around an open stack. But this will certainly strengthen through the engineering efforts of integration, for example, of Hortonworks data platform form with JBoss. And so that deepened integration will make it easier for all the JBoss developers to create new applications, which is really one of the key use cases for Hadoop, creating net new analytic applications. So that engineering integration will make it easier for them to adopt that technology. And really, it's not filling a hole so much as taking the platform to the next level and taking a comprehensive platform approach. Okay. Yeah. And so the JBoss suite, the data virtualization product in particular, we did some certification with Hortonworks platform to certify it. And what that allows us to do is to capture the data inside of HDP and combine it through virtualization with data sources outside. So more traditional SQL databases, OLTP systems to bring the data up a level, combine the Hadoop data with the enterprise data, and then allow developers to write applications that can analyze data across all those data sets. So it really enables developers and data scientists to now kind of take the next step and to a new set of applications that they can now write against data that involves more than just to do. Okay. And what about on the business side in terms of go-to-market activities, sales activities, partner activities? Absolutely. Well, you'll see in the enterprise market we'll see a lot more joint go-to-market activities with Hortonworks, whether it's reference architectures that we're building out to help the enterprise, practitioners understand how the technologies work together and what the use cases are, but in addition to things like webcasts and other joint go-to-market activities that, you know, will really serve to educate about how these technologies work together, what the benefits are that the enterprise can gain. Yeah. And so one specific area where we'll be jointly promoting is the OpenJDK capabilities. So that's something that's built into Red Hat Enterprise Linux today and OpenJDK really allows developers to write applications that can be deployed across any scenario, so physical, obviously on Enterprise Linux, but also in a virtual environment and then also in a cloud environment. And as John mentioned, Red Hat and Hortonworks have been working together upstream in the open-source community, specifically OpenStack.org. We're on something called the Savannah Project, which is all about bringing Hadoop to OpenStack to a cloud infrastructure, private cloud infrastructure, which basically allows enterprises to get all the greatness of Amazon EMR, Elastic MapReduce, except inside their private firewalls. So that's a great capability. We really think that when that becomes available later this year that that'll really accelerate things for Hadoop, because now they'll have a very elastic infrastructure to run Hadoop on. Yeah. So I just want to follow up on that a little bit. Greg, about the convergence between maturation of the cloud, if you will, both private and public, and the growth of that as a preferred infrastructure to solve a lot of problems, with the big data side and the Hadoop side, and the 1 plus 1 makes three effect of that happening. Yeah, no, we definitely view it that way. It's definitely a 1 plus 1 equals 3. We view big data and specifically MapReduce and Hortonworks data platform as the killer app for the cloud, because it's big. So it requires a very large infrastructure. But it's really agile that the Hadoop and analytics market really needs agility. And so what that means is they need to be able to expand and contract on demand. And we think that that requirement from the users and the analysts and the developers down into the infrastructure, cloud is a great fit for that. And that's why we're excited to be working with Hortonworks upstream and then pull that down and make it supportive along Red Hat or Price Linux OpenStack platform. So I know in putting partnerships together, it's always best if there's a customer that's kind of driving it, there's a sales opportunity that's kind of driving it. Was this driven by a particular use case or a particular customer that was wanting, needing, requesting this, or was this just something more generically you saw in the marketplace that needed to be done to benefit both companies? I'd say a little bit of both. I think both of us have, we have a lot of joint customers where Hortonworks are working and Red Hat obviously is the kind of standing for Linux and the enterprise. So we've been certified on RHEL since the very beginning of having an offering and so there's absolutely multiple customers. Now that said, just in terms of how we're seeing Hadoop being adopted, companies want to A, leverage the existing skills they have. They have lots of skills on JBoss and OpenJDK and so this helps them further enable those skills. And so it's really taking up and picking up the emerging need around the enterprises and making sure that that is solid enterprise grade and ready to be adopted by the market. Excellent. So we've a lot of talk here at the show about, you know, there's a lot less hoodies and sweatshirts and a lot more suits and I'm wearing my tie and reference to Dave Vellante who had to fly back to Boston, hi Dave. But I think almost more of like a pioneer analogy where, you know, there was a lot of early pioneers and the bad part of all the pioneers get arrows in the back and eventually the guys come through to build the infrastructure that put the train in place. You know, what does this mean in terms of the maturation of Hadoop and big data in the enterprise and, you know, hardening it, there are kinds of phrase about what does enterprise ready mean? What does this mean in that evolution and how far down the path are we? Good question. So yeah, I do think it's maturing and the fact that we're joining forces and we're both targeted on making Hadoop more enterprise ready and it's in response to our customers, right? So we have lots of joint customers together, lots of people run HDP on RELL and they've come to both of us either together or separately and say, we want to move this into the mainstream, we don't want it to be a silo anymore, therefore we need you guys to help us integrate it, right? And that's why the J-Bus stuff is important. We also have a Red Hat Storage Initiative where we can do analytics in place on data inside of Red Hat Storage. We built a plugin upstream for that and then the infrastructure side, right? They're saying we run our RELL today but we're moving towards the cloud. Can you bring Hadoop to the cloud for us? And so all of that is market and customer driven and so I do believe that's a natural maturation, right? They look at their infrastructure, they look at Hadoop and they say, how can I bring this in? Because I don't want it to be an island, right? I need to be able to manage it with my enterprise tools, I need to be able to run it on my enterprise infrastructure and I want to use my existing developer tools and that's exactly the three areas we're trying to address. Yeah, and I like your analogy. I think this really is moving from the Wild West into more of a mature infrastructure. This is one of the things that's really laying those tracks and laying that groundwork and so, and from our standpoint, 2013, lots of companies really using proofs of concept and really building out their applications, kind of testing it, now they really want to get into production. It needs to be hard and enterprise grade and that's one of the major benefits of this partnership. Yeah, that's great. So we're kind of wrapping down to the end of the show here. We're day three, but I know both of you guys have big shows coming up, so I want to give the opportunity for a little plug for Red Hat Summit. We're excited, the Cube, I think it's going to be at the Red Hat Summit for the very first time. I think it's at Moscone, so we're excited to be there. So what can people expect? Rush out and get registered. There's some exciting news things that we can expect from Red Hat Summit, give you a chance to give a little plug. Sure, so we're excited about having the Red Hat Summit here on the West Coast, for us West Coast people, be it in April, I think it's the 14th or so, of up in Moscone, as you said. And again, you'll see a continuing of innovative solutions, both upstream and supported in enterprise products in exciting areas like cloud. You'll see a lot happening on cloud, a lot happening on big data, as well as open hybrid cloud. So we'll continue to kind of move the pendulum over and move the ball forward for enterprises. Great, and John, of course, you've had theCUBE at the summit many, many times. We're excited to be back there again, I believe it's in June. So again, I'll give you a chance, give a little plug for Hadoop Summit. Thanks. So yeah, Hadoop Summit in San Jose. Coming back, it's the eighth year of Hadoop Summit. So it's the oldest, largest Hadoop gathering. It's a place where you can go and get your serious geek on, if you want about Hadoop. But to your point, there is a little less of the hoodie type activities. There'll be more business focused tracks. So it's really a little bit of something for everybody, if you wanna learn to be, three or 4,000 of our closest Hadoop friends will be there, and I think it's gonna be a great event, and that'll include Red Hat and others. Great, so as we come to the end of this show, Big Data SV 2014, what are kind of your parting thoughts in terms of stuff you've seen outside of your own announcement, obviously, which is exciting, that's a little bit different than where this was at Big Data NYC in October as we've moved forward three or four months. And then what can we expect between now and Big Data NYC 2014 and about six months from now? Sure, so I mean, I've seen some just very interesting technologies over at the conference here. I would say that it's more about the applications that are getting built than tools that sit on top of Hadoop, a lot of innovative, interesting little companies that are building things specifically to make Hadoop easier to use and a variety of targeted areas. I think we'll see more of that. I had some conversations with folks about applications that they were building to meet specific industry needs, healthcare, and others. So I think that is really the trend. It's making, now that the platform is more cementing itself, applications will be built on top of that and we're just gonna see more of that evolve in this year. Yeah, I would agree with that. I think that there'll be a lot of excitement around the application development environment. Red Hat, we're gonna be working towards with Hortonworks, towards things like OpenShift, where we can move it up even a level up to a platform as a service. There'll be some innovation down at the infrastructure level as we make the transition over to cloud. So that'll be exciting later this year as well. Great. So I'll give you the John challenge that sees out here. If you had to wrap it up in a bumper sticker as we drive away on Highway 101, what would it be for this show? For the show, I'd just say Hadoop is ready for the enterprise to adopt and put into production. Yep. No, I would say same thing. Well, come on, you gotta come up with a new bumper sticker, right? I can't let you off that easy. Let's see. How about, you know, go faster, spend less, do more. That's all good. That's all great, super. Well, Greg and John, thanks for coming on theCUBE. Really exciting announcement. It'll be fun to review in a couple months, both at your show at Red Hat Summit as well as Hadoop Summit as well as Big Data NYC 2014. No, what's been the progression? How are enterprises adopting and taking advantage of this opportunity to move the ball forward? So again, thanks for coming on. Great, thank you. Jeff Rick here at Big Data SV, day three, wall to wall coverage, extracting signal from the noise as we'd like to do, get the smartest guys we can find, bring them on theCUBE, ask them the questions that you'd like to ask them if you were here and get the answer. So we'll be right back with our next guest in just a minute.