Big data - Next Generation Data Scientists (Mar 29 - Apr 2, 2014)

14/03/2014 Professional & Short Term Course

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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

The advent of the Web, mobile devices and other technologies has caused a fundamental change to the nature of data. Big Data has important, distinct qualities that differentiate it from �traditional� corporate data. No longer centralized, highly structured and easily manageable, now more than ever data is highly distributed, loosely structured (if structured at all), and increasingly large in volume.

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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+919789968765 / 04442645495
BigData onDemand Training for :
Developers/Administrators/Project Managers/BI Architects/DB Architects/Testing/Mainframe

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Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20

Big Data Training for FastTrack Session on Mar 29- Apr 2, 2014

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