The three most common ways data junkies are using Hadoop

Hadoop will have a profound impact on the enterprise data landscape. Understanding the common patterns of use, can greatly reduce the complexity

Just a few weeks ago, Apache Hadoop 2.0 was declared generally available–a huge milestone for the Hadoop market as it unlocks the vision of interacting with stored data in unprecedented ways. Hadoop remains the typical underpinning technology of “Big Data,” but how does it fit into the current landscape of databases and data warehouses that are already in use? And are there typical usage patterns that can be used to distill some of the inherent complexity for us all to speak a common language?

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