 It's very much, as you mentioned, kind of modeling a warehouse, taking months even to answer a question, and you kind of don't touch that model once you've got it. So when you go into customer situations, what's the mindset that you typically find? Do you have to do a lot of evangelizing education to get people to understand this, or? You do. I mean, that's a real challenge for us because there is a certain mindset around it. But on the other hand, I think people get tired of the existing infrastructures and the existing paradigms. And one trick that we've learned is if you can go into an organization and demonstrate value quickly, just go after a small problem. We've been doing a lot of work closely with the data scientist team at EMC Green Plum. One of the things they've gotten really good at is just going into a customer's part of a pre-sales activity or an early engagement. Maybe they've just gotten the infrastructure, the Hadoop or the Green Plum database up and running, and go in and say, okay, let's do something. Let's prove value quickly. So maybe we've got a long-term project to move all our reports over to the new infrastructure, but let's just go and answer a business problem now. What's the most pressing thing, right? It's like, are we getting maximum value out of our customers? How do we increase customer lifetime value? That's a very straightforward question to ask. It should be fairly straightforward to get insights into that. And so that's, I think, the way that you can begin to change people's minds a bit. Just go after one simple problem. Like a quick win, kind of, then the, that the light bulb kind of goes off and they see the power of what predictive analysts can do. And another thing that we've done also is that we've targeted not necessarily the traditional data scientist who maybe is going to be a little bit more wed to an existing infrastructure and existing set of tools, plus, frankly, for us, that's a fairly small audience, right? I mean, everybody's complaining about the fact they can't get their hands on data scientists. So why not enable, again, what we call the aspirational data scientist, somebody who's maybe a business analyst? They know the data, right? They know some basic stats maybe. They've probably done a course that they're doing a night class in this because they realize that's the way the world is going. And so give them a tool that allows them to do that more easily. Again, without all the encumbrances of having to move the data around, without a sort of complicated coding framework, WYSIWYG, wear your data, you know? Kind of abstract away the complexity. That's right. And this is, you know, we've talked a lot about the earth of data scientists and I think you need to attack it from both sides. You need more training, but you also need to make the tools easier to use to lower the barrier to entry. That sounds like that's right where you're playing. Yeah, absolutely. So what's the go to market with your product and with Greenblum? A number of initiatives. One big one that we're working on right now is to make sure that the Greenblum sales force and the data science team is demonstrating a lot of that early value with the Alpine application. And so that's one of the reasons why, for example, we've integrated with the Chorus product because Chorus is a really great way of bringing the entire organization together to develop on sources of big data in a collaborative environment. And what Alpine can do can bring, almost as a thing of it, as sort of a plug-in, bring within that environment the ability to do predictive analytics. And so it's important for us to be able to integrate closely, not just with the sources of data, but these new environments that Greenblum is building around those. So that's part of the go to market strategy. It's sort of really making sure that Greenblum understands not only selling the infrastructure and the data, but also the value and the insights that can be brought out on top of that as well. Can I buy it as a service? You know, that's interesting. Not right now. No, so you can certainly engage. Because I want it. Yeah. But I don't want to put in the infrastructure. Yeah, I have an application that I actually want to use it for. So that's absolutely part of our product roadmap right now. There's sort of a number of core things. Right now we've focused a lot on databases, but obviously Hadoop solutions. So we already have an early Hadoop prototype that we're working on with some of our close customers. Expanding the number of databases that we support is key, making that constantly refining thing, making it easier and easier, broadening the outreach. And then absolutely considering a cloud based solution. So later on this year, we're actually going to have the ability to upload your data and start doing analytics with us directly in the cloud. So the simplest level, you can basically point to any corpus of data and extract value out of that. That's right. That's what you guys do. Yeah, that's right. I definitely have an application that we're working on and we could maybe use you guys. So I'm going to talk to you offline. Okay, we'll hire you. Yeah, yeah. All right Steve, that was great. I really appreciate the insights. You going to the Data Science Summit? Are you going to be there? Yeah, I'm super excited about it. Yeah, I'm going to be speaking tonight at the opening session and I'm going to be interviewing a really cool team of really prominent data scientists and people involved in this community about, like how do you build that dream team of data scientists? So that's going to be a really fun discussion. Oh wow, that's outstanding. Yeah, that's right. We've had several on here today. Jeff's interviewed some as have I. And so, well congratulations on the company and where you're at. Very exciting space. It is great. You're really at the heart of it, Steve. And thanks very much for coming to the queue. Yeah, thanks for your questions. Yeah, pleasure to be here. Thanks everybody for watching. Keep it right there, we'll be right back. SiliconANGLE.tv's continuous coverage live from EMC World 2010. Right back.