Hadoop Training (1)

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Hadoop Training In Hyderabad
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Address
Flat No 204, Annapurna Block,Aditya Enclave,
Ameerpet, Hyderabad - 500038. Phone 040
65142345Mobile [phone]email
info_at_orienit.com
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About Hadoop

• Hadoop
• Hadoop Cluster 
• A Real Time Example
• Core Components of Hadoop Cluster
• Slaves

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About Us

• ORIEN IT has been established with the primary
  objective of offering superior IT training
  services and support for different business
  organizations. 
• ORIEN IT provide integrated IT training services
  and the complete range of IT consulting support
  to cater all the requirements of both individual
  learners and corporate clients. 

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Hadoop

• Hadoop is an open source framework, that supports
  the processing of large data sets in a
  distributed computing environment. Hadoop
  consists of MapReduce, the Hadoop distributed
  file system (HDFS) and a number of related
  projects such as Apache Hive, HBase and
  Zookeeper. MapReduce and Hadoop distributed file
  system (HDFS) are the main component of Hadoop. 

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Hadoop Cluster

• Normally any set of loosely connected or tightly
  connected computers that work together as a
  single system is called Cluster. In simple words,
  a computer cluster used for Hadoop is called
  Hadoop Cluster. Hadoop cluster is a special
  type of computational cluster designed for
  storing and analyzing vast amount of unstructured
  data in a distributed computing environment.
  These clusters run on low cost commodity
  computers. 

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Hadoop Cluster
Hadoop clusters are often referred to as "shared
nothing" systems because the only thing that is
shared between nodes is the network that connects
them. Large Hadoop Clusters are arranged in
several racks. Network traffic between different
nodes in the same rack is much more desirable
than network traffic across the racks. 
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A Real Time Example
Here is a picture of Yahoo's Hadoop cluster. They
have more than 10,000 machines running Hadoop and
nearly 1 petabyte of user data. 
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Core Components of Hadoop Cluster
Hadoop cluster has 3 components Client Master Sla
ve The role of each components are shown in the
below image. 
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Client

• It is neither master nor slave, rather play a
  role of loading the data into cluster, submit
  MapReduce jobs describing how the data should be
  processed and then retrieve the data to see the
  response after job completion. 

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Masters
The Masters consists of 3 components NameNode,
Secondary Node name and JobTracker.
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Masters consists of 3 components

• NameNodeNameNode does NOT store the files but
  only the file's metadata. In later section we
  will see it is actually the DataNode which stores
  the files. NameNode oversees the health of
  DataNode and coordinates access to the data
  stored in DataNode. Name node keeps track of all
  the file system related information such as to
• Which section of file is saved in which part of
  the cluster
• Last access time for the files
• User permissions like which user have access to
  the file
• JobTrackerJobTracker coordinates the parallel
  processing of data using MapReduce. 
• Secondary Name NodeDon't get confused with the
  name "Secondary". Secondary Node is NOT the
  backup or high availability node for Name node. 

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Slaves

• Slave nodes are the majority of machines in
  Hadoop Cluster and are responsible to
• Store the data
• Process the computation

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Best Hadoop Training In Hyderabad
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