Introduction And Components Of Hadoop Architecture

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Introduction Components ofHadoop Architecture
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Hadoop

• Hadoop is a batch processing system for a cluster
  of nodes that gives the bases of the biggest Data
  analytic activities because it bundles two sets
  of functionality, most wanted to deal with huge
  unstructured datasets i.e Distributed file
  systems and MapReduce processing.
• It is a project from the Apache Software
  Foundation written in Java to assist
  data-intensive distributed applications.
• Hadoop allows applications to operate with
  thousands of nodes and petabytes of data.
• The incentive originates from Googles MapReduce
  and Google File System papers.
• Hadoops biggest contributor has been the search
  giant Yahoo, where it is widely utilized across
  the business platform.

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Map Reduce

• Hadoop MapReduce is a programming model and
  software structure for writing applications that
  quickly make large amounts of data in parallel on
  big clusters of computer nodes. MapReduce uses
  the HDFS to access file parts and to save reduced
  results.

HDFS

• Hadoop Distributed File System (HDFS) is the
  initial storage system handled by Hadoop
  applications. HDFS is, as its name implies, a
  distributed file system that gives high
  throughput access to application data creating
  multiple copies of data blocks and sharing them
  on computer nodes during a cluster to enable
  reliable and fast computations.

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Architecture of Hadoop

1. Hadoop is a Map/Reduce framework that works on
   HDFS or HBase.
2. The central idea is to decompose a task into many
   identical tasks that can be executed closer to
   the data.
3. Also, all tasks are parallelized the Map phase.
   Then all these intermediate results are joined
   into one result the Reduce phase.
4. In Hadoop, The JobTracker is responsible for
   regulating the job, maintaining the Map/Reduce
   phase, retrying in case of failures.
5. The TaskTrackers (Java process) are running on
   different DataNodes. Each Task Tracker performs
   the tasks of the job on the locally saved data.

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