 Okay, we're live here in Silicon Valley in San Jose, California. This is theCUBE. Siliconangle.com, Siliconangle.tv's flagship telecast where we go out to the events, extract the signal from the noise, talk to the smartest people we can find, whether they're CEOs, entrepreneurs, developers, bloggers, anyone that's got some knowledge to share, we want to bring that to you. Here, we're going to just do some commentary around what's happening at Hadoop Summit. Huge event. This is Ground Zero, the core epicenter for all the action and big data. We have Hortonworks, Cloudera, the pioneers at Hadoop with big players like IBM, HP, Trasada, an emerging company, and we're going to talk about what's happening here. My guests in this segment is Abhi Mehta from the co-founder of Trasada, big data player in the financial space and doing some great work. And Michelle Chambers from IBM, Netiza, general manager and vice president of analytics solutions at Netiza. Welcome to theCUBE. Thank you. Thank you. Thanks for having us. I've always been an alumni, I've been on many times, coin the term data factories in when you were with Bank of America at Hadoop World 2010, really a pioneering concept at the time, but that's what was being talked about in the keynote. That's right. So how do you feel? I mean, you predicted the future, not uncommon for you. I think it's, we did it together. I think it's a fair thing to say. I was, we have now in conversations with, in the financial space, with every large bank in the country. And I now like saying, John, that Hadoop will save the economy. The good news for the, and the future, to find the future for the economy. Almost everybody we talk to is trying to figure out a way, this is the good news, to put money back to work, right? There actually is a huge need and now a recognized need amongst the large financial players that money needs to be put back to work. But they also realize that they can't do it the way we did it six years ago. You got to be a little bit more responsible, thoughtful, but also use a lot more predictive analytics and use the right data with the right information at scale to drive the answer. So there's only one thing that can do it. It's what the 2,000 people behind us at Hadoop Summit are aiming for and we're trying to deliver an hour or humble way in the industry. Michelle Chambers with Netiza. Obviously I talked in the opening segment with Rob Beard in the CEO of Hortonworks about analytics being the end game, the application side of it's really big. Obviously there's still some infrastructure problems to solve. You got virtualization, you got huge infrastructure challenges as well. And so you got two theaters exploding with change. IBM is no stranger to some of that infrastructure side as well. You guys have a huge analytics. So talk about what you guys are doing here because IBM is in the startup like Hortonworks or Cloudera, you guys are an established player, maybe even in a buyer for some of these companies. Not that I'm putting words in your mouth, not that I'm putting words in my mouth on that now unless you want to get me fired. No one ever got fired for being on the cube. No worries, I'm not worried about it. I think that's IBM's expression. No one got fired for buying IBM, that's an old expression. No one got fired for being on the cube. That is true though, yeah. So IBM jumped into the big data game a few years ago. They created a streaming analytics platform that's called InfoSphere Streams and that was done with a three letter agency and it's been around almost for 10 years now. And then what IBM saw was that the big data tsunami was coming around. And so we jumped into the Hadoop world by creating a distribution called Big Insights. And the big idea there was to not only harden up the infrastructure piece of it in terms of four enterprises but then also add value on top of that. So a lot of what the buzz is here at Hadoop Summit is how do you get to the end game of where Abi is with Trasada, right? Because what people are beginning to recognize is that this infrastructure and the tools layer is going to be a relatively short lived timeframe. And that where we're going to is people, most enterprises can't take that and make something. Explain that concept because that's really important. That control, playing time, talk about that dynamic. Yeah, so what's happening in the marketplaces, everybody right now is trying to utilize the hammer that they have and find the nail to use a Hadoop platform, right? But they're all these piece part components and it isn't easy. You don't have the skills internally. People don't really understand how to do parallel programming. You have a lot of different pieces that are at different levels of maturity. And so what you see evolving and it's very clear in the marketplace is that this marketplace is going to get leapfrogged and we're going to move to end solutions like what Trasada has where what the business really cares about is doesn't care about all that infrastructure below. What they care about is how do I get value out of this? And I want to essentially take the common wisdom that's in a person's head and now have it in a platform that isn't siloed and isn't restricted to technology, right? And that's what you see actually evolving. So I want to get your comment on something because obviously IBM was involved in the PC revolution as well as Steve Jobs and Apple back in the day. I made a comment on theCUBE that the PC revolution really was all about putting the hands of productivity in the hands of users. Just computing, general purpose computing versus the big mainframes at the time. And then client server came around but those were two real major disruptions in marketplace but the PC revolution in particular was an absolute.