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Hadoop Developer In Real World

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Hadoop Developer In Real World

Hadoop Developer In Real World, Free Cluster Access * HDFS * MapReduce * YARN * Pig * Hive * Flume * Sqoop * AWS * EMR * Optimization * Troubleshooting

Created by Hadoop In Real World

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What Will I Learn?
  • Understand what is Big Data, the challenges with Big Data and how Hadoop propose a solution for the Big Data problem
  • Work and navigate Hadoop cluster with ease
  • Install and configure a Hadoop cluster on cloud services like Amazon Web Services (AWS)
  • Understand the difference phases of MapReduce in detail
  • Write optimized Pig Latin instruction to perform complex data analysis
  • Write optimized Hive queries to perform data analysis on simple and nested datasets
  • Work with file formats like SequenceFile, AVRO etc
  • Understand Hadoop architecture, Single Point Of Failures (SPOF), Secondary/Checkpoint/Backup nodes, HA configuration and YARN
  • Tune and optimize slowing running MapReduce jobs, Pig instructions and Hive queries
  • Understand how Joins work behind the scenes and will be able to write optimized join statements
  • Wherever possible, students will be introduced to difficult questions that are asked in real Hadoop interviews
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