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Hadoop developer Training Course
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  • Hadoop developer Course Content
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      Introduction 
      • Introduction to Big Data and Hadoop
      • Hadoop ecosystem - Concepts
      • Hadoop Map-reduce concepts and features
      • Developing the map-reduce Applications
      • Pig concepts
      • Hive concepts
      • Oozie workflow concepts
      • HBASE Concepts
      • Real Life Use Cases
      Introduction to Big Data and Hadoop
      • What is Big Data?
      • What are the challenges for processing big data?
      • What technologies support big data?
      • What is Hadoop?
      • Why Hadoop?
      • History of Hadoop
      • Use Cases of Hadoop
      • Hadoop eco System
      • HDFS
      • Map Reduce
      • Statistics
      Understanding the Cluster
      • Typical workflow
      • Writing files to HDFS
      • Reading files from HDFS
      • Rack Awareness
      • 5 daemons
      Map Reduce
      • Before Map reduce
      • Map Reduce Overview
      • Word Count Problem
      • Word Count Flow and Solution
      • Map Reduce Flow
      • Algorithms for simple problems
      • Algorithms for complex problems
      Developing the Map Reduce Application
      • Data Types
      • File Formats
      • Explain the Driver, Mapper and Reducer code
      • Configuring development environment - Eclipse
      • Writing Unit Test
      • Running locally
      • Running on Cluster
      • Hands on exercises
      How Map-Reduce Works
      • Anatomy of Map Reduce Job run
      • Job Submission
      • Job Initialization
      • Task Assignment
      • Job Completion
      • Job Scheduling
      • Job Failures
      • Shuffle and sort
      • Oozie Workflows
      • Hands on Exercises
      Map Reduce Types and Formats
      • MapReduce Types
      • Input Formats - Input splits & records, text input,
      binary input, multiple inputs & database input
      • Output Formats - text Output, binary output,
      multiple outputs, lazy output and database output
      • Hands on Exercises
      Map Reduce Features
      • Counters
      • Sorting
      • Joins - Map Side and Reduce Side
      • Side Data Distribution
      • MapReduce Combiner
      • MapReduce Partitioner
      • MapReduce Distributed Cache
      • Hands Exercises
      Hive and PIG
      • Fundamentals
      • When to Use PIG and HIVE
      • Concepts
      • Hands on Exercises
      HBASE
      • CAP Theorem
      • Hbase Architecture and concepts
      • Programming and Hands on Exercises