 Well thanks for having us on, and I think that Mike has been, I consider him both a friend and a partner, so we've had a great relationship with Clouder that goes back into, I think it was probably summer of 2009, so rather early in that process, and we started migrating on to Hadoop in 2009, and for an unstructured data play that was pretty early. So it's a little tricky from the standpoint of technology that moves beyond counting things that are well-structured, to being able to figure what you're measuring, like what is in unstructured data, who are the entities, who are the people, who are the places, that sort of presumes pattern recognition, it presumes other analytics to even make the building blocks that can't be counted. So that's been a big gap. So that slide was talking about how do you take loose, noisy information, and our pedigrees in the defense space, the intelligence space, how do you take loose, noisy information that's disconnected, unstructured, and then connected together so that you can then apply analytics to it in a business, you know, valuable way. And so Mike, I think, wanted to show what was possible. He knows about some of our implementations, you know, in other places. Well, let's jump into that in a second, but back up and tell the folks about digital reasoning, the company, what you guys are all about, and specifically educate them on, and then we'll go into the Hadoop side. Yeah, so I think that to understand digital reasoning is to understand that we wanted to create a way to take human communication and use algorithms to make sense of it without having to have a human design an ontology, or design some other structure a priority. And so basically digital reasoning is a 30 ish person solver company growing quickly right now, principally in the defense intelligence area and moving into the markets, natural services, enterprise risk.