THE BEST HADOOP ONLINE TRAINING IN INDIA

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WEL COME TO
HADOOP ONLINE TRINING
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HADOOP

• Introduction
• Distributed file system of Hadoop
• Map reduction of Hadoop works
• Hadoop cluster and its anatomy
• Hadoop demons
• Master demons
• Name node
• Tracking of job

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HADOOP

• High availably of data
• Block placement and cluster architecture
• CASE STUDIES
• Practices Tuning of performances
• Development of mass reduce programs
• Local mode
• Running without HDFS
• Pseudo-distributed mode

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HADOOP

• Setup of Hadoop cluster of Cloud era, Apache,
  Green plum, Horton works
• On a single desktop, make a full cluster of a
  Hadoop setup.
• Configure and Install Apache Hadoop on a multi
  node cluster.
• In a distributed mode, configure and install
  Cloud era distribution.
• In a fully distributed mode, configure and
  install Hortom works distribution

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HADOOP
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HADOOP

• What is Hadoop
• 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.

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HADOOP
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HADOOP

• Apache Hive is the most widely adopted data
  access technology, though there are many
  specialized engines. For instance, Apache Pig
  provides scripting capabilities, Apache Storm
  offers real-time processing, Apache Base offers
  columnar No SQL storage and Apache Accumulate
  offers cell-level access control. All of these
  engines can work across one set of data and
  resources thanks to YARN and intermediate engines
  such as Apache Tea for interactive access and
  Apache Slider for long-running applications

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HADOOP

• 1 .H Base2. H Base concepts3. H Base
  architecture4. Basics of H Base5. Server
  architecture6. File storage architecture7.
  Column access8. Scans

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THANK YOU

• By
• IT HUB ONLINE TRAINING
• Contact Us
• IT HUB ONLINE TRAINING
• IND 91 9949599844
• USA 1-347-606-2716
• Mail Us contact_at_ithubonlinetraining.com