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    Apache Hadoop Development

    Offline & Online Training

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    Apache Hadoop Administration

    Offline & Online Training

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    Apache Big Data

    With R and HBase and Hive

Hadoop Developer

 

Overview:

Hadoop is a free, 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.


Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure. This approach lowers the risk of catastrophic system failure, even if a significant number of nodes become inoperative.


“Hadoop was inspired by Google's File System, a software framework in which data and computations are broken down into numerous small parts.
Any of these parts (also called fragments or blocks) can be run on any node in the cluster. Doug Cutting, Hadoop's creator, named the framework after his child's stuffed toy elephant. The current Apache Hadoop ecosystem consists of the Demons, MapReduce, the Hadoop distributed file system (HDFS) and a number of related projects such as Apache Hive, HBase and Zookeeper etc.”


Course Index

  • Course Objective Summary
  • Introduction to Big Data and Hadoop
  • Understanding the Cluster
  • Let's talk Map Reduce
  • Developing the Map Reduce Application
  • How Map-Reduce Works
  • Map Reduce Types and Formats
  • Map Reduce Features
  • Hive and PIG
  • HBASE
  • Case Studies Discussions
  • Certification Guidance
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