Regardez la vidéo gratuite finding correlations between queries

Breaking the silos is very important. Because otherwise we are not solving the problem of really getting our arms around all of the data that is available. At least, let's start within an enterprise, before we even go outside an enterprise. Any big enterprise that you talk to, one of their biggest challenges is: how do they break the silos?
With big data it has now become very possible for us, from a technology standpoint, to be able to pull our data from all of these sources. So that when a question is being asked or a query is being issued, it's not just being answered based on one set of repository, but by having the right connectors to different data sources, different applications, being able to pull the right information from all of these.
And then aggregating these, you may get like seven different pieces of information from different data repositories or applications. But being able to then correlate all of them, a different fact may emerge, which if we were just answering these questions based on just one or two silos that we were looking at, this entire context may not be apparent at all.
So I think breaking the silos is very important, which doesn't mean that all the data has to be moved around, but being able to. So there are a couple of ways, right? The federation: being able to run the query wherever the data resides, is important. But being able to pull the results of all of these queries together and analyse it, and see what is really the outcome here, or the information that has otherwise been dapped in say seven different silos, I think is what is possible now.