Making Hadoop Accessible via Open Source BI

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Why the Hoopla over Hadoop?

Hadoop in nine easy to understand facts.

While the interest in Hadoop and other approaches to managing "Big Data" is growing rapidly, one of the challenges facing IT organizations is how to make the information stored in these systems accessible to end users.

In general, interest in Hadoop is being drive by the fact that this approach to managing data allows IT organizations to manipulate data sets that don't fit neatly into existing SQL database systems, and the fact that an open source tool such as Hadoop is a lot less expensive to acquire, deploy and maintain than a SQL database.

Of course, the two major challenges with Hadoop are performance and accessibility. While vendors that specialize in Hadoop are working on performance issues, providers of business intelligence applications are working on the accessibility issues.



In particular, Pentaho, which combines data integration software with its BI application software, sees Hadoop as a natural extension of the company's open source platform. According to Pentaho CEO Richard Daley, the company is seeing interest in Hadoop, which got its start with media companies struggling with large volumes of data on the Web, growing rapidly in any industry that is struggling with trying to analyze large amounts of data that is increasingly being gathered by sensors now being used to measure and analyze a host of business processes.


Daley says he sees Pentaho essentially lowering the bar that any IT organization needs to jump in order to embrace Hadoop. There are, of course, other middleware approaches to Hadoop, but as Daley notes, none of them combine middleware and BI software under one open source umbrella.

There's no doubt that Hadoop will start playing a big role in enterprise computing across the board in relatively short order. At this point, it's basically a question of when and how that will be accomplished.