Apache Hadoop – The Big Name In The Big Data World

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Apache Hadoop The Big Name In The Big Data World
Java/J2EE Capabilities
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What is Apache Hadoop?
What is Apache Hadoop?

• A proficient data management framework for Big
  Data
• Open source software for distributed processing
  of large chunks of data
• Offers distributed parallel processing across
  servers, ranging from a single server to multiple
  machines
• Processing and analysis of thousands of terabytes
  of data
• Apt framework to increase business efficiency and
  maximize ROI
• Latest Release on 18 November, 2014 Release
  2.6.0

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Main Modules of Hadoop
Main Modules of Hadoop
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Main Modules of Hadoop (contd.)
Main Modules of Hadoop (contd.)

• Hadoop Common
• Common utilities to help other Hadoop modules and
  support subprojects
• Includes File System, RPC and serialization
  libraries
• Hadoop Distributed File System (HDFS)
• Distributed File System giving access to
  application data
• Spans across all nodes in a Hadoop cluster to
  link them into one big file system
• Java based, giving scalable and reliable data
  storage

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Main Modules of Hadoop (contd.)
Main Modules of Hadoop (contd.)

• Hadoop YARN
• Utilized for job scheduling and resource
  management of clusters
• Splits up two roles of JobTracker, namely,
  resource management and job scheduling into
  different areas
• Hadoop MapReduce
• System for parallel processing of large data sets
• A framework that gets into work assignment to
  nodes in a particular cluster
• Writes applications processing large amount of
  data, on multiple nodes of hardware with utmost
  reliability

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Other Hadoop Related Projects at Apache
Other Hadoop Related Projects at Apache

• Avro
• Cassandra
• Hbase
• Hive
• Pig
• Spark

• Ambari
• Chukwa
• Mahout
• Tez
• ZooKeeper

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Why Hadoop?
Why Hadoop?

• Next generation real time analytics
• Rich eco systems
• Scale-out storage
• Reduced cost of ownership
• Scalability, Flexibility and Reliability
• Fault tolerance
• Simplistic programming models

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