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• 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