Tuesday, 15 July 2014

Reasons for Hadoop training
Hadoop considered being an emerging technology, which is Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation. Apache Hadoop is 100% open source, and pioneered a fundamentally new way of storing and processing data. The Hadoop framework is used by major corporates like Google, Yahoo and IBM, mainly for applications involving search engines and advertisement. ‘With Hadoop, no data is too big!”. In today’s hyper-connected world more data are being created every minute and Hadoop helps to analyze and value the data for organization.
Scalable: Hadoop is a highly scalable storage platform, because it can store and distribute very large data sets across clusters of hundreds of inexpensive servers operating in parallel.
Cost effective:Apache Hadoop control cost by storing data affordably per terabyte than other platforms and delivers compute and storage for hundreds of dollars per terabyte.
Flexible: Hadoop significance is that it has flexible way to store data and can use all types of data, both structured and unstructured, to extract more meaningful data for business.
Fault tolerant: Fault tolerance is one of the most important advantages of using Hadoop. Even if individual nodes experience high rates of failure when running jobs on a large cluster, data is replicated across a cluster so that it can be recovered easily in the face of disk, node or rack failures.

Professional who are currently working in other platforms are eagerly  willing to change their career track  and they want to scale up  to new and better territory, namely Hadoop, for their career advancement. Skillwise Consulting conducts Hadoop Online Training for the Corporate Clients.


                                                                                           www.skillwise.com                                                                                                                                 

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