Hadoop for Developers Training Course

From: $6,600.00

Description

Hadoop for Developers Training Course


Duration: 28h block (4x7h - 4 working days)
Apache Hadoop is the most popular framework for processing Big Data on clusters of servers. This course will introduce a developer to various components (HDFS, MapReduce, Pig, Hive and HBase) Hadoop ecosystem.

 Course Outline

Section 1: Introduction to Hadoop

  • hadoop history, concepts
  • eco system
  • distributions
  • high level architecture
  • hadoop myths
  • hadoop challenges
  • hardware / software
  • lab : first look at Hadoop

Section 2: HDFS

  • Design and architecture
  • concepts (horizontal scaling, replication, data locality, rack awareness)
  • Daemons : Namenode, Secondary namenode, Data node
  • communications / heart-beats
  • data integrity
  • read / write path
  • Namenode High Availability (HA), Federation
  • labs : Interacting with HDFS

Section 3 : Map Reduce

  • concepts and architecture
  • daemons (MRV1) : jobtracker / tasktracker
  • phases : driver, mapper, shuffle/sort, reducer
  • Map Reduce Version 1 and Version 2 (YARN)
  • Internals of Map Reduce
  • Introduction to Java Map Reduce program
  • labs : Running a sample MapReduce program

Section 4 : Pig

  • pig vs java map reduce
  • pig job flow
  • pig latin language
  • ETL with Pig
  • Transformations & Joins
  • User defined functions (UDF)
  • labs : writing Pig scripts to analyze data

Section 5: Hive

  • architecture and design
  • data types
  • SQL support in Hive
  • Creating Hive tables and querying
  • partitions
  • joins
  • text processing
  • labs : various labs on processing data with Hive

Section 6: HBase

  • concepts and architecture
  • hbase vs RDBMS vs cassandra
  • HBase Java API
  • Time series data on HBase
  • schema design

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