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Big Data Analytics using Hadoop

Duration

5 Days

Price

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Gain knowledge of Big Data Analytics concepts and tools along with Reinforce concepts by working on a Big Data Analytics Project. Understand the A to Z of Big Data and Hadoop Analytics. Using hands-on work examples you will learn to extract real time information with Hadoop MapReduce and the various tools and techniques such as HDFS, Pig, Hive, HBase, Sqoop, Oozie, and Flume.

Key Outcomes:

  • Gain in depth knowledge of Big Data Analytics concepts and tools
  • Process large data sets using the various tools of Big Data and extract relevant information from seemingly disparate sources
  • Query databases using Hadoop MapReduce to create scalable, flexible and cost effective solution
  • Perform data analytics using Pig, Hive and Sqoop
  • Implement Integration with HBase and MapReduce
  • Schedule jobs using Oozie
  • Execute Flume jobs
  • Understand the use of best practices for Hadoop development
  • Reinforce concepts by working on a Big Data Analytics Project

Objectives

  • Introducing Big Data & Hadoop
  • Hadoop Eco-system & Architecture
  • Introduction to YARN
  • Hadoop Cluster Configuration
  • Basics of MapReduce on YARN
  • MapReduce Programming
  • Analysis using Pig
  • Analysis using Hive Data Warehousing Infrastructure
  • Working with HBase
  • Importing & Exporting Data using Sqoop
  • Oozie Workflow Management
  • Using Flume for Analysing Streaming Data

Contact

  • Nurman (+62 857-2375-3840)
  • Irna (+62 822-1664-7749)
  • Puji (+62 813-2424-2115)
  • Shafa (+62 813-9049-0664)