 Hi, this is Dave Vellante, the Wikibon Project here with Silicon Angles coverage of the EMC Megalodge. This is day minus one, this is the day before the event, and there's a big analyst meeting here today, there must be, I don't know, 60 analysts or so, and I'm here right now with Chuck Hollis. Hey Chuck, how you doing? Good to see you. It's great to see you. Always good to see you at EMC. I didn't know you were going to be here. I understand you're going to be in London too, so all good. We've got the entourage, and we're following this like a blanket as we usually do, in Silicon Angles as you know, so a lot of analysts in there, I don't know, like I say, 60 or 70. Big room full. We heard Tucci this morning, we heard Gelsinger, and we're going to hear a bunch of customers this afternoon. Sujal, we heard Sujal on the Cube, so I want to talk about big data. So do I. All right, great. So tell us in your excellent style, boil it down for us, simplify us. What does big data mean for customers? Big data is a change of perspective, at least in my mind, from lots of data is a problem to lots of data is an opportunity. As costs go down, as capacities go up, we're finding that more and more people realize, hey, I can take enormous amounts of information, either create value, cure cancer, something I couldn't do before. At its essence, it's looking like a different style of IT about creating value from information as opposed to just keeping it around and trying to reduce costs. Yes, the problem meaning it's always about, oh, I've got so much data up and to the right, I can't manage this stuff. And you're saying there's going to be a bit flip here when we start to look at data as an opportunity. We're trying to meet people who see a petabyte of data as a good thing, not as a problem to be overcome. Traditional IT is all about using resources more efficiently, less storage, less compute, kind of rationing things. We're seeing these enormous projects, whether it be in media, genomics, pick your favorite vertical where how much data can I collect, process and create new value from becomes kind of the new mandate rather than just making a standard IT type. So EMC has some pieces of the puzzle, right? You picked up Icelon, you picked up Green Plum, you got Atmos, okay. So talk about how the pieces fit together, maybe what you have, what's missing, who are you going to buy next to fill in that gap? I think it all starts for us with the information itself and in a very traditional sense, that storage. So when you look at how Icelon is built, it's a very different kind of scale out NAS than anything that we've had in our portfolio. When you look at how Atmos is built with object storage, very different architectural concepts than anything we've ever seen in the rest of our portfolio. On top of that, what do you do with the data? Green Plum for analytics, parts of our IIG portfolio and document them around creating richness out of it. We have a lot of opportunity to think of, we get into these customer engagements, building fuller and fuller stacks from everything from the information management layer to the applications and the use cases, which typically are on mobile devices these days. So what's the fit between big data and cloud? It's kind of funny, big data usually requires big compute and the two tend to go together. When you have on these large repositories of information, you can't predict all the time how it's going to be used on any given day. So not always, but a lot of the time, people who are interested in big data also want to have a cloud consumption model to go with it, whether that be a private cloud, a public cloud or some combination of both. All right, we're here with Chuck Hollis at the EMC Analyst event. We'll be covering this throughout the week and beyond. This is Dave Vellante. Thanks for watching.