Apache Hadoop Training with Professional Certification

Closing the Gap between Data Availability and Insight
While data volumes are growing by leaps and bounds, firms are only analyzing 12% of the data that is being captured and stored, according to a recent Forrester survey. Several reasons for this shortfall were given by survey respondents:
� The inflexibility of their existing BI tools to handle the volume, velocity and disparate formats of Big Data
� Enterprise and externally sourced data changes faster than organizations can process into actionable insights
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The Hadoop/NoSQL software and services market reached $542 million in 2012 as measured by vendor revenue. This includes revenue by Hadoop and NoSQL pure-play vendors � companies such as Cloudera and MongoDB � as well as Hadoop and NoSQL revenue from larger vendors such as IBM, EMC (now Pivotal) and Amazon Web Services. Weforecast this market to grow to $3.48 billion in 2017, a 45% CAGR during this five year period.

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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.

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