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Hadoop developer training


Tables …

Extended Data Types
Base Enums
Security Keys, Configuration Keys, and License Codes
• Microsoft Dynamics AX Table Structure and Components
• Procedure: Creating a Table in Microsoft Dynamics AX.

or full course details please visit our website www.microsoftdynamicsonlinetraining.com

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.microsoftdynamicsonlinetraining.com

please mail us all queries to info@magnifictraining.com

Published in Education , Technology
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  • 1. hadoop developer training Contact : Magnific training +91-9052666559 info@magnifictraining.com
  • 2. • Hadoop Developer Training: Introduction to Apache Hadoop Development: • Introduction to Apache Hadoop Development training class teaches attendees how to build distributed, data-intensive applications using the Hadoop framework. Students learn the principles of parallel programming and how use Big Data tools such as Pig, Hive, and HBase.
  • 3. • Apache Hadoop Training Objectives • All attendees will: • Understand the principles of parallel computing • Understand Hadoop architecture (HDFS and MapReduce) • Define Big Data project architecture • Use additional Big Data tools (Pig, Hive, Flume, etc.) • Use HBase in the project.
  • 4. hadoop developer training • Apache Hadoop Training Outline • Introduction – Hadoop history and concepts – Ecosystem – Distributions – High level architecture – Hadoop myths.
  • 5. hadoop developer training • HDFS – Concepts (horizontal scaling, replication, data locality, rack awareness) – Architecture – Namenode (function, storage, file system meta- data, and block reports) – Secondary namenode – HA Standby namenode – Data node.
  • 6. hadoop developer training • Communications / heart-beats • Block manager / balancer • Health check / safemode • read / write path • Navigating HDFS UI • Command-line interaction with HDFS • File systems abstractions • WebHDFS.
  • 7. hadoop developer training • MapReduce – Parallel computing before MapReduce – MapReduce concepts – Daemons: jobtracker / tasktracker – Phases: driver, mapper, shuffle/sort, and reducer – First MapReduce job – MapReduce UI walk through – Counters
  • 8. hadoop developer training • Pig – Intro: principles and uses cases – Tools and environment – Example applications – Pig versus MapReduce
  • 9. hadoop developer training • Hive – Intro: principles and uses cases – Environment and configuration – Example applications – HIve versus MapReduce – Hive versus Pig
  • 10. hadoop developer training • HBase – History and concepts – Architecture – HBase versus RDBMS – HBase shell – HBase Java API – Splits and compaction – Read path / write path.