 I'm just in Edmonton here at the Hadoop Summit. Got Scott Capiello from MicroStrategy, he's going to fill me in on what you've been working on. How are you, sir? Good, how are you? Very good. So give me a little bit of insight on what you're seeing here at Hadoop. Yeah, you know what's different this year? I've been to Hadoop Summit for three or four years, and I think what's different this year is the level of maturity, both in terms of the customers on the panels. You know, we had a nice keynote this morning with customers actually talking about their real use cases in years past. We've had, you know, folks from Yahoo or Facebook or LinkedIn who are actually working on the code trying to explain to other people. Now we've got customers really saying, here's how I've actually used it in my organization. Smart, now let's talk about customers. What are your customers most interested in right now? Yeah, so MicroStrategy is a leader in business analytics and our customers expect enterprise caliber tools to work with. So our integration is primarily through Hive and there's been a lot of interest in connecting BI tools to data to store in Hadoop and Hive is a natural way to do it, but Hive is maturing. And I think what we're seeing now is with some of the advancements that Horton has put into Stinger and really improving the response time of Hive, similar to what Clouder is doing with Impala and all the other SQL in or on Hadoop technologies are really making it possible to have a BI-style dashboard with interactive response times on top of your data that's in Hadoop. Is that one of the items that's important to your customers, having a dashboard or having a method of easily looking at things? I mean, some people feel that it's the solutions that are just too complex, too complicated. You're losing interest for one and then just the ability to really dive in. Yeah, well we want to get the data that's in Hadoop out of not just the hands of the data scientists but also the business analysts, people who don't want to write map-reduced jobs, they don't know Java code, they don't want to do Hadoop streaming, they don't want to write SQL. They want to use a graphical user interface so they can get through a BI-2 like Microstrategy to interact with data, do reporting, get the answers to the questions they need with the data that happens to be in Hadoop. There's a lot of talk about these data silos and all this information that's being stored. For the folks that are at that stage, they see the value in it, they're collecting it. They haven't moved on to the stage where you could help them with, give us some use case scenarios and some real life benefits that you've seen. Yeah, so while the desires have the interactive response time on top of data that's directly in Hadoop, we are seeing use cases today where you can use Microstrategy's in-memory layer to extract some of the data from Hadoop and it's a nice compliment to the big questions that may take a long time in Hadoop versus the stream of consciousness kind of questions you can ask through our in-memory layer. So we are seeing use cases today. In fact, Yahoo is doing a session later today on exactly how they've used our in-memory layer with Hadoop in that example. Fantastic. Well, how about industries? Are there industries that you feel it's more pressing for them to kind of get on board and make this happen? I think it's across the board. I don't know if there's any one particular industry that jumps out. We've got customers who find out services and retail. Those are the two that I think we probably see most, but it's not exclusive to those. I think really any industry's interested in it. Let's talk about the difficulty in starting. I mean, a lot of people are just, they anticipate that first step, trying to gather all these data sets together and make some sense of it. Is it to the point where this can happen without a whole lot of pain on the IT side? I don't think it's pain so much. I think, in fact, I think it's actually pretty easy to get started. I think it's, probably the difficulty is really getting value out of getting started. You can start dumping log files into Hadoop fairly easily. It's the next process after that, whether you can find people with skills and experience in Hadoop. That's probably the bigger challenge. So getting started is easy, but mastering it is what's hard. What about expectations, then? Folks that, they hear that this is the next big thing. They hear there's the future, but when they start, you're not necessarily able to immediately get that value that you talk about. How are expectations being set and how is that being managed? And I think it's important to make clear that if you're looking for Hadoop to be a cheaper version of your data warehouse, that's not the right expectation. And it's not also not a good way to launch a project in your organization. You want to find a use case that is different from what you can already do with Enterprise Data Warehouse and learn from that. Get your feet wet, get your experience, get your skill set built on something new, show some value with something new. And then as the product matures, you can look at, well, are there things we're doing today with current technologies that maybe we can shift over to who? But that's definitely a second step. Fantastic. So for folks that are ready to move into that, what's the best way to get in touch with you or follow you on the social network? Yeah, you can always go to Microstrategy's website. We have a Twitter feed and Facebook presence there. We also have a Microstrategy's annual user conference in Europe is coming up in two weeks from now as well. We can get an invitation to that. We'll see about that. Fantastic. Winston Edmonds in here with Studio V. Microstrategy, signing out.