Apache Hadoop

Apache Hadoop Introduction:

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

Overview Of Apache Hadoop Job Support:

The Apache Hadoop is an open source software framework for the storage &  large scale processing of the data-sets on clusters of commodity hardware. The Hadoop is an Apache top-level project being built & used by an global community of contributors & users. It is licensed under the Apache License 2.0.

The Apache Hadoop was born out of an need to process an avalanche of the big data. The web was generating more & more information on an daily basis, & it was becoming very difficult to index over one billion pages of the content.  In order to cope, the Google invented an new style of data processing known as the MapReduce.

A year after Google published an white paper describing the MapReduce framework, Doug Cutting &  Mike Cafarella, inspired by the white paper, created Hadoop to apply these concepts to the open-source software framework to support distribution for the Nutch search engine project. Given the original case, so the Hadoop was designed with an simple write-once storage infrastructure.

The Apache Hadoop software library can be detect & handle failures at the application layer, so it can deliver an highly-available service on the top of an cluster of the computers, each of which may be prone to the failures

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