 Hi everybody, we're back. This is Dave Vellante. We're here at the HackReduce launch in Cambridge, Massachusetts Where it's the epicenter of big data and we're here with Scott Houser who's with ADAPT. Scott good to see you again Good to see you as well. Thanks for having me. Yeah, what do you think of this this this event? HackReduce a lot of innovation here a lot of young startups you guys are supporting it. What's going on there? So, you know one of things I'm really excited about not to be repetitive I'm sure you've heard this a number of times tonight But look at the response in the community the governor's here We've had a lot of you know people talking about innovation and incubating startups and bringing the you know the brain power here to Boston So it's a really exciting response to what's taking place here So we were down at Strata a couple weeks ago ADAPT won the innovation award for best startup so congratulations are on that and So you guys made a big announcement at Strata and you got some company. So that's always good You know you got confirmation. There's a lot of buzz around your announcement Obviously cloud era you know made an announcement going after the similar space talk about what the reaction has been in the marketplace to your announcement So I think one of the things that we saw in the market and one of the reasons we positioned things the way we didn't Started to develop down the path that we did a few years ago was this notion that we wanted to take Hadoop from this sort of you know Skunkworks project or in the lab and really accelerated into production and the way we were going to do that was with interactive You know interactivity and giving these applications it could run on top of Hadoop So based upon the response we got from the market we went down that path And we've had incredible response where integrating a tableau and other industry standard tools and doing it in an interactive fashion Has really opened up opportunities for customers to really look at and try to experience what big data could be for them And for their markets to say you know no longer are they bound by Whether it's you know, I've got a legacy application I'd like to add some big data elements to But I've got this one entity or world that runs in an analytic database I've got this other entity that runs in this you know Hadoop world, but I can't bring them together So I'm sort of you know chicken and egg problem. We've alleviated that we've seen a lot of very positive response from customers and from early prospects You know buying into that vision and taking advantage of that and testing the software with it Scott one of the unique things about you as a as a marketing executive is you come from a Practitioner world so you bring that customer perspective. So my question you is first of all We know that that legacy data warehouse is broken. It's a mess. It's a patchwork. It's a real problem for customers What are customers telling you about their legacy environment their data warehouse environment specifically in the context of big data? Where are they and where are they trying to get to I think the reality is there are so many applications that have been built over the last 25 years that people are experiencing this challenge of how do I begin to Integrate these big data concepts, but the architectures are bound with those applications And unfortunately the architectures don't allow them to let the applications evolve And so they're looking for ways to help take those applications and let them evolve Which is why I think what we've done with Hadaft is very unique in that we can take those legacy applications And allow them to run inside a Hadoop framework and then add these evolving technologies on top of it So building an architecture or framework allows you to take advantage of this evolving concept Really unlocks the potential that customers are looking for and frankly, you know You mentioned it the legacy architectures The reality is people don't want to continue to spend the way they have on these legacy architectures, right? You spend 20 30 40 million dollars a year on a platform That binds you to a very specific subset of applications you can employ with any sort of interactivity or intelligence or an ability to empower a knowledge worker and that's part of it You know it's part of the previous generation and what this environment and hack reduce is all about and what Hadaft is all about Is breaking down those walls and giving people access Not just to the technology But to all of this data right and the governor said it right it's taking that data and being able to Extrablate or distill information from that to make informed decisions and to build wisdom And that's what we've done at Hadaft is take all of that that idea of these data sets and these sources And this notion of structured and unstructured data and we've given customers the ability to empower their knowledge workers They're analysts by enabling that through one unified platform Yeah, so you know the promise of big data is really that we can put Information and insights in the hands of of the business users it didn't really happen It didn't happen with the data warehouse in the BI crowd. It really was sort of a mystery Yeah, you'd get a template you get reports you get a cube maybe but the change it was really difficult Talk about your vision as to whether or not big data the industry Adapts can actually live up to that promise of putting those actionable insights into the hands of business users Well, I think that's part of the entire vision is how do we help customers evolve the architecture to be from you know This legacy methodologies that they've applied for the previous problems in the last couple of decades and Look at this as an opportunity to cross the chasm and embrace a new architecture and make real Considerable change in that infrastructure to begin to open up the opportunities that you know otherwise would be you know impenetrable for You're saying your value proposition is it's not a rip and replace Okay, but so put yourself in the shoes of a practitioner again. So you've got this data warehouse. It's a patchwork. How do you? What do you recommend to practitioners like you used to be how do they get from point A to point B? Yeah, I think it's a fantastic question. You're right I mean what I love to walk in the door and say hey forget everything you've done for the last 25 years Yeah, of course I would right it'd be great for me, but it's not realistic for the business today I think what we have to do is focus on applications that have that you know value that could be derived from adding big data elements whether it's things like sentiment analysis or text search or Social integration or machine learning or the list goes on and on but I believe that if you can pinpoint the Applications that will have value drive value from that sort of capability and you start to to integrate them into a new architecture I think slowly your organization begins to Migrate more and more applications a workload to an evolving architecture And they become less dependent on the legacies, but I I don't believe that you as you mentioned it before right? You were not going to walk in the door and rip everything out replace it because he's just not It's not advantage to the business to do that on day one But like many disruptions that we've seen in the past at the growth rates Chris Lynch today claimed that the big data market was a $100 billion and if you if you project that out growing at a very rapid rate I mean it's potentially you know growing to 50% maybe even faster each year It's really a hard market to count because there's so much innovation going on in the customer base Do you see you know in the next five years or so where the big data tail that's wagging the dog today? Will actually flip and more value will be created out of the big data applications and infrastructure Then the traditional legacy infrastructures I absolutely do because I think you're seeing the early onset of that and you're seeing firms that are embracing this sort of technology And this market shift and the ones who are early adopters are experiencing incredible Strives not just in what I would say is maybe customer experience or revenue growth But they're also seeing benefits and things like product development right how their products evolve how they are able to better serve customers And I think the innovation curve is impacted in many dimensions by that this whole big data innovation So you know it's not just you know what I consider single-dimensional like if you think about what a data warehouse Doesn't it provides reports to a user to say we sold this many widgets yesterday? And here's what the impact of the market was or to the market cap or whatever now We're taking in providing people with insights that are You know Interactive in nature and that can take dimensions that were never possible before so that can have impacts on every facet of the business So yeah, I do believe that it's possible. My last question is when you think about creating value That's one thing the other element is sustaining that value creation for competitive differentiation How would you recommend big data practitioners actually do that? What should they focus on to be able to to get that sustainable differentiable advantage that that's a great question And what I think has to happen right there's a lot of talk about data scientists and practitioners etc I don't think that the the necessity for those resources will catch up in the near term with the demand I think what has to happen is people have to look at and embrace platforms that are differentiated today And we'll give them an opportunity to embrace or invoke some of those advanced analytic capabilities Through the platform of the technology that they deploy as opposed to relying on an individual to do it for them I think the faster that you make that Decision or you can reconcile that decision that you're going to have to look at the problem through a different lens And you have in the past and you're willing to adopt some of that The faster you can begin to adopt or migrate to have down that path to a sustainable, you know Technical advantage and business advantage. Hey Scott. Thanks very much for coming on and sharing your perspectives great scene You congratulations on the hack reduce launch and we'll see you around. Thank you very much. Take care Keep it right there Dave Vellante. This is the Cube We'll be right back from the hack reduce event in Cambridge, Massachusetts big data after dark