Big data is data that is too large to process using traditional methods. It originated with Web search companies who had the problem of querying very large distributed aggregations of loosely-structured data. Google developed MapReduce to support distributed computing on large data sets on computer clusters
Hadoop is an Apache project, written in Java and being built and used by a global community of contributors. Yahoo! has been the largest contributor to the project and uses Hadoop extensively across its businesses on 38,000 nodes.
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.
Register now !
+919789968765 / 04442645495
BigData onDemand Training for :
Developers/Administrators/Project Managers/BI Architects/DB Architects/Testing/Mainframe
Special discounts for Early bird registration
Group discounts available.
Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20
Big Data Training for FastTrack Session on Apr 19th To 23rd 2014