We project the Big Data market to top $18 billion in 2013, a growth rate of 61%. Looking beyond 2013, we forecast the total Big Data market to approach $50 billion by 2017, which translates to a 31% compound annual growth rate over the five-year period 2012-2017. While the global economic outlook is for slow to stagnant growth over this period, We believe the Big Data market will not be severely impacted and may, in fact, benefit from enterprises needing �to do more with less,� which effective Big Data analytics facilitates.
Hadoop: Hadoop is an open source framework for processing, storing and analyzing massive amounts of distributed unstructured data. Originally created by Doug Cutting at Yahoo!, Hadoop was inspired by MapReduce, a user-defined function developed by Google in early 2000s for indexing the Web. It was designed to handle petabytes and exabytes of data distributed over multiple nodes in parallel.
In a recent survey, 46% of Big Data practitioners report that they have only realized partial value from their Big Data deployments. An unfortunate 2% declared their Big Data deployments total failures, with no value achieved.
The three compelling reasons for this struggle to achieve maximum business value form Big Data are:
� A lack of skilled Big Data practitioners.
� �Raw� and relatively immature technology.
� A lack of compelling business use case.
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