 You know, first of all, a lot of customers have questions about how Hadoop fits in with everything and, you know, to some extent, you know, my comment about Hadoop is it has to declare its major for really, you know, everyone to understand it because, you know, you even heard today, there's guys that are focusing on the H base side, there are guys that are focusing on the analytics side, so, you know, is it a transaction processing system, like, you know, some of the guys were implying, is it a purely analytics environment? So Informatica is really kind of seeing, you know, seeing this like everyone evolve. I think that, you know, the most natural cases right now are around the analytics. They're not really a substitute for other things that are going on. We're seeing it as a complement to existing analytic environments. You know, Hadoop doesn't, you know, yet support the full range of SLAs that you see with some of these traditional analytic environments, but it seems like it's getting there. So, you know, I think it's just early days with Hadoop and I'd say that a lot of the people that I talked to at the conference are still just trying to figure out, you know, what it is, what it means to them and where it fits in with their IT landscape. It's maybe a major in analytics with a minor in transaction processing. Is that your sort of vision for the future? How do you see that shaping up? Well, I think that, you know, I wouldn't want to presuppose anything about Hadoop right now. I think that it kind of looks that way now. I think that there's nothing but green space or green field ahead of Hadoop. Yeah, very smart guys working on it. I think when you look at how Hadoop got started, some of the early papers that came out of both Google and Amazon, now it reminded me a lot of how relational databases got really kick-started. So, like back in the 70s, Cod and Date, write a paper, Larry Ellison and Bob Miner read the paper and it's like, hey, I'm reading about the future here. And when you read the seminal papers around Hadoop and MapReduce, it's like, hey, you get a feeling like you're really glimpsing the future of something. And I think like we didn't know exactly how relational databases would evolve at that point, you know, it's a little bit early to tell where Hadoop is going. I think it's going to have a healthy footprint in both trends.