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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.<br>Visit Us: http://www.traininginmarathahalli.in/hadoop-training-in-bangalore
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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.
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.
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.
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 O’Malley 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.
Hadoop was named after one of the founder’s 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, MahadevKonar, Owen O’Malley, Sanjay Radia, and Suresh Srinivas.
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.
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 don’t 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.
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.