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 they dedicated teams to it 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.
Big data and Hadoop must become first-class citizens in the enterprise. The technology must become accessible to the people and skills that already form the IT organization. Big data platforms cannot exist in their own islands. With Hadoop rapidly evolving from raw open source framework to enterprise data platform, enterprises should evaluate the vendor's road map for promoting accessibility, along with integrating its offering within the data center and existing data warehousing environment.
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