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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