Hadoop training program

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or full course details please visit our website www.hadooponlinetraining.net

Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on

experience.

* Resume preparation and Interview assistance will be provided.
For any further details please

contact India +91-9052666559
Usa : +1-678-693-3475.

visit www.hadooponlinetraining.net

please mail us all queries to info@magnifictraining.com

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Hadoop training program

  1. 1. Hadoop training Program Contact: Magnific training Ph No: 91 – 9052666559, Mail: info@magnifictraining.com
  2. 2. • Hadoop course content • Introduction to Distributed systems • High Availability • Scaling • Advantages • Challenges
  3. 3. • Introduction to Big Data • What is Big data • Big Data opportunities • Big Data Challenges • Introduction to Hadoop • Hadoop Distributed File System • Hadoop Architecture • Map Reduce & HDFS
  4. 4. • HDFS Design & Concepts • Blocks, Name nodes and Data nodes • HDFS Federation • HDFS High-Availability • Hadoop DFS The Command-Line Interface • Basic File System Operations • Anatomy of File Read • Anatomy of File Write • Reading Data from a Hadoop URL
  5. 5. • Map Reduce • Map and Reduce Basics. • How Map Reduce Works • Anatomy of a Map Reduce Job Run • Progress and Status Updates • Job Completion, Failures • Shuffling and Sorting. • Partition & Combiner • Hadoop Streaming • Use of Apache Oozie
  6. 6. • Hive • Installation • Hive Services • Hive Shell • Hive Server • Hive Web Interface (HWI) • Meta store
  7. 7. • Pig • Installation • Execution Types • Grunt Shell • Data Processing • Grouping & Joining • Working with Functions • User Defined Functions • Hands on Exercises
  8. 8. • Sqoop • Installation • Import data from RDBMS • Export data to RDBMS • Hands on Exercises
  9. 9. • H-Base • HBase Installation in Cloud – optional (if cloud infra exists) • HBase concepts • HBase vs RDBMS • Master & Region Servers
  10. 10. • Introduction and overview of other Echo systems • Zoo Keeper • Oozie • Hue • Flume • NoSQL • Casandra

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