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Big Data analytics have caught the imagination of enterprises because of the opportunities for discovering new insights from data beyond the reach of enterprise data warehouses, using a variety of approaches, some of which were not previously feasible using relational databases. Created by a community of developers from the Internet world, Hadoop has emerged as the leading new platform for Big Data analytics because of its scalability, flexibility, and reliance on low-cost commodity infrastructure. Not surprisingly, as an emerging platform, early adopters typically deployed Hadoop on dedicated infrastructure because of its unique resource consumption characteristics, and dedicated teams because of the need for highly specialized skills. Clearly, this implementation pattern will not be sustainable for enterprises because of the need to accommodate Hadoop and Big Data analytics largely with the teams and IT infrastructure that they already have.

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