Hadoop Training

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What is Big Data
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extremely large data sets that may be analysed
computationally to reveal patterns, trends, and
associations, especially relating to human
behaviour and interactions.
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The big part in Big Data - Hadoop
Hadoop is an open source, Java-based programming
framework that supports the processing and
storage of extremely large data sets in a
distributed computing environment. It is part of
the Apache project sponsored by the Apache
Software Foundation.
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OVERVIEW
Apache Hadoop is an open source software platform
for distributed storage and distributed
processing of very large data sets on computer
clusters built from commodity hardware.  Hadoop
services provide for data storage, data
processing, data access, data governance,
security, and operations.
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HISTORY
The genesis of Hadoop came from the Google File
System paper that was published in October 2003.
This paper spawned another research paper from
Google MapReduce Simplified Data Processing on
Large Clusters. Development started in the Apache
Nutch project, but was moved to the new Hadoop
subproject in January 2006. The first committer
added to the Hadoop project was Owen OMalley in
March 2006. Hadoop 0.1.0 was released in April
2006 and continues to be evolved by the many
contributors to the Apache Hadoop project.
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 Hadoop was named after one of the founders toy
elephant. In 2011, Rob Bearden partnered with
Yahoo! to establish Hortonworks with 24 engineers
from the original Hadoop team including founders
Alan Gates, Arun Murthy, Devaraj Das, Mahadev
Konar, Owen OMalley, Sanjay Radia, and Suresh
Srinivas.
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BENEFITS of hadoop
Some of the reasons organizations use Hadoop is
its ability to store, manage and analyze vast
amounts of structured and unstructured data
quickly, reliably, flexibly and at low-cost.
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Scalability and Performance  distributed
processing of data local to each node in a
cluster enables Hadoop to store, manage, process
and analyze data at petabyte scale.Reliability 
large computing clusters are prone to failure of
individual nodes in the cluster. Hadoop is
fundamentally resilient when a node fails
processing is re-directed to the remaining nodes
in the cluster and data is automatically
re-replicated in preparation for future node
failures.Flexibility  unlike traditional
relational database management systems, you dont
have to created structured schemas before storing
data. You can store data in any format, including
semi-structured or unstructured formats, and then
parse and apply schema to the data when read.
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Where did you get the Hadoop training and
certification?
Besant Technologies offers the best Hadoop
Training in Bangalore with the aid of the most
talented and well experienced professionals. Our
instructors are working in Hadoop and related
technologies for quite a number of years in
leading multi-national companies around the
world. What makes us trusted masters in this
field is the fact that we are clearly aware of
industry needs and we are offering training in a
very much practical way.