 Hi, this is Dave Vellante. We're back at the HackReduce launch. Big data after dark. We're here with Justin Borgman is the CEO of ADAPT We were down at Strata a couple weeks ago. ADAPT won the best big data startup award from the O'Reilly media We're here Justin. Congratulations. First of all on that. Thank you. I appreciate it. You guys must be really we talked about this at Strata But you know the afterglow is still shining. I can tell you guys are really excited about that and we're here at HackReduce You know, I know you've been very supportive of this initiative So what do you think? Absolutely? I mean, it's great to be here I think it's a great event for Boston and you know, certainly Chris Lynch who's been very involved with this is also a board member for us So we're usually supportive of the HackReduce initiative. So I mentioned Strata before you guys made a big announcement Bringing sort of no sequel and sequel together the big trend bringing real-time to to Hadoop everybody's going after that So I now some from cloud era you guys are really, you know out there What are customers telling you that they want and how are you guys helping them deliver that? Yeah, I mean, I think that's absolutely the future. How can you build interactive applications on Hadoop in a way that you know? Analysts can can interpret that data, you know, I think there's always been this challenge in the Hadoop space of you I need to find these extremely talented technical individuals who can write MapReduce programs and they're in very short supply I was just speaking with someone actually here at the event tonight a CTO of a local startup Who's saying that same thing? It's very hard to hire these people and that's that's really what we're trying to do is make that Easier and more consumable for the for the analysts using sequel to access that data in Hadoop So the other part of what you're doing you you showed a demo We had Ming Shang on and he was showing a demo of bringing together all kinds of different tool sets one of which was Visualization tool from Tableau Big data's promise is that it's going to bring insights that are actionable to business users Why did the business intelligence data warehousing traditional business fail at that and why will big data? You know this new industry succeed. Yeah I mean I think part of it is access to new data that really doesn't fit into those traditional systems And that's a lot of that unstructured data. How can I make sense of social media emails news articles? How can I access that and and bring that in to create a more holistic view of my business? And I think that's part of the potential of big data. Yeah, and and we were talking to Daniel a body before you know, you're one of your founders and and he was helping us, you know sort of Describing the the evolution that that he sees. How do you take customers from? Where they are today to that vision that you guys are putting forth. Yeah, I mean, I think that's absolutely right I think right now you see so many people still in that kind of experimentation phase with big data And I think it's enabling them to use, you know, real use cases that deliver business value And and once you have business owners within the organization, you know asking to do these projects I think that's really where it starts to catch catch some real mainstream traction So, you know CMO is saying I want to do better analysis on you know this particular part of my business So I think that's the opportunity Do you think CMOs are going to have a bigger budget for big data than then then CIOs and and and how does that change? The way in which you go to market. I think that's certainly true I mean there's been a lot written about that and people are talking about that idea I think that there's a lot of momentum in that direction I think that the IT organization will continue to be involved in that technology selection But ultimately, you know, we'd like to be able to sell to both of them You know really enable that business use case and then, you know, hopefully prove it out in the technology selection as well What do you say to the the CIOs that are looking at big data? They may be trying to figure out how to monetize it what data sources they have what to do with it It's early on in the game. What do you recommend? Yeah, I mean, I would say you know take your time to understand what's out there It's incredibly noisy and I think that just makes their job harder to try to understand all the different technology to choose from But you know the proof is in the pudding You know when you do that POC process and and you've got a real business use case behind it You'll understand whether or not that can deliver on on the business value Well, yes, we've mentioned business value a couple of times you guys are taking a different approach I mean the Hadoop community. It's a it's this open-source world You guys have chosen to add value in a different way You're certainly friendly to open source, but you're adding some value in in ways that are not Open-source you're closed sourcing a lot of your code talk about the business value that that drives Sure, so, you know, I mean we would characterize it as sort of open core There's the open source to do distribution, but we are trying to build in a proprietary value on top of that And that's where our investments go from an engineering perspective We are a product company not a services company. That's one of the ways that we think we differentiate in the market But you know in doing so one of the things we've built is what we've called the adaptive element kit Which we were talking about at strata Which is a way to use sequel functions to do some of these more advanced analytics that Hadoop offers And so you can you can express these more advanced things like machine learning Sentiment analysis tech search all through sequel functions. Yeah, so that's critical So you you get to get ISVs writing to that the HDK So give us an update on that. How's that going and where do you see it going? It's going very well You know we're working very hard on continuing to build that out We've populated, you know a few functions so far the customers can work with we're going to continue to expand that And that's really the part that we're looking forward to building an open community where other Customers and users and partners can contribute additional functions to that library Yeah, the demo you guys showed at strata was awesome We have it we have it on the cube. You can check that out. You know go search for that and And and I think that you know your point about adding some of that proprietary value You're not a services company. You really are a software company and and you're incubating and accelerating some of that innovation Talk about where you see some of the early use cases for a depth sure so some of the early use case We've seen so far around log file analysis sort of security fraud detection use cases In in large financial services companies and then on the sort of e-tail retail internet side a lot of Customer behavior analytics, how can I understand, you know, the behavior that's going on online Maybe even tying that in with offline behavior social media all these different data sources to better understand and predict customer behavior And market to them in a very individualized personalized way my last question Justin. He chose you chose Boston's just specifically Cambridge It was a big decision. Obviously, you know, you guys came up from New Haven I know you were a big advocate of that How has that affected your hiring the talent pool talk about that a little bit? Yeah I mean, it's a great point when we first started we were in New Haven We knew we had to kind of go somewhere and Silicon Valley and Boston were the two logical choices We made a very concerted effort to move up here Primarily because we think there's there's a great untapped resource here of database talent So many database companies great database companies that have been formed and more recently acquired in this area You know, Natisa and Vertica and Deca and so forth and and it's just a rich community And on top of that the academic, you know potential here with MIT and Harvard and so many great schools It's been great from a hiring perspective. We absolutely love being here. It's amazing how a database is hot again, isn't it? Yes. Yeah, it's very cool. All right, Justin. Thanks very much for coming on. I really appreciate your time All right, keep it right there big data after dark We'll be back with more from the hack reduce launch after this