Customer applications of Hadoop on Red Hat Storage Server

If analyzing data were easy, wouldn’t everybody do it? The fact is, several steps are necessary to effectively use Hadoop out of the box to process data for the information you need. From preprocessing relevant data to preparing it for consumption to copying large data sets to another location for analysis—the time it takes to get value from your data might be so long that the data is no longer relevant.

So why bring your data to the analytics engine when you can bring the analytics engine to your data? In this session, you’ll learn how Red Hat customers use Red Hat Storage Server to more quickly start mining their data by allowing the application that generates the data they need to write directly to where the analytics will run. And in the process of doing so, they can skip making an extra copy of the data.