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So what we're going to talk about today is actually querying of events dreams how many of you put out events today in some way maybe you know this guy and some of the stuff he's doing maybe you're using this maybe you're just pushing everything through queues, but you probably have a lot of events in your system how many of you save your events and query them there's a ton of value inside them and there are certain queries you can do off of events that you can't easily do in any other model so what we're going to talk about today we've been making I'd like to call it a cross-pollination, but it's quite likely this guy as well over the last year and a half we've been building a query language specifically for querying over event streams, and it's not a new concept there have been people that have done this in the past what we're really trying to do is we're trying to take a complex event processing system and look at it historically as well, and it works out well because you end up with one model about whether we're talking about right now or whether we're talking about a year ago doesn't really make a difference and I know complex event processing is the new big thing and it's the old big thing as well one of the main things that's going to force us to focus on is time is really important in a lot of these kinds of queries in particular what we're looking for is what's known as a temporal correlation query ideally we should also be able to get real-time information out of these kinds of systems or I should say near real-time and I mentioned this is not new has anybody seen this before it's from a stream database I personally don't like this model the reason I don't like this model is it's basically taking events that are happening at points in time, and it's trying to convert them into sequel I find that when people use this they start losing what the underlying mental model really is now it is a nice declarative language strongly typed but people it's basically made so that people can start thinking about event streams and pretending that they're actually sequel in tables now this is all going to come back into event sourcing the concept of event sourcing is we rebuild our state by replaying events and all that we store is events every single event that happens in your system is always stored, and I've been talking about this for a long time this is actually the second time I talked about event sourcing and this was in what 2007 this talk was actually horrific, so actually I was one before it was horrific so go to talk about event sourcing and domain driven design come to my front row is Eric Evans Martin Fowler and Gregor Hope Bay I've never talked to any of them before go through my talk and Eric comes to me afterwards, and he says you know that was a awful talk like crap, so I came back a year later, and I did the talk, and he said this time is a perfect talk and just as a side note this is back from 2006, and you'll notice we're talking...
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