Advanced Hadoop for Developers


Apache Hadoop is one of the most popular frameworks for processing Big Data on clusters of servers.  This course focuses on advanced programming techniques that will be beneficial to experienced Hadoop developers.

What You Will Learn

  • Advanced Pig
  • Advanced Hive
  • Advanced HBase (SQL)




three days


lectures (50%) and hands-on labs (50%).


  • comfortable with Java programming language (most programming exercises are in java)
  • comfortable in Linux environment (be able to navigate Linux command line, edit files using vi / nano)
  • attended “Hadoop for Developers” or has working  knowledge of Hadoop.

Lab environment

Zero Install: There is no need to install hadoop software on students’ machines! A working hadoop cluster will be provided for students.

Students will need the following

  • a SSH client (Linux and Mac already have ssh clients, for Windows Putty is recommended)
  • a browser to access the cluster. We recommend Firefox browser

Detailed outline

Data Management in HDFS

  • Various Data Formats (JSON / Avro / Parquet)
  • Compression Schemes
  • Data Masking
  • Labs : Analyzing different data formats;  enabling compression

Advanced Pig

    • User-defined Functions
    • Introduction to Pig Libraries (ElephantBird / Data-Fu)
    • Loading Complex Structured Data using Pig
    • Pig Tuning
    • Labs : advanced pig scripting, parsing complex data types

Advanced Hive

    • User-defined Functions
    • Compressed Tables
    • Hive Performance Tuning
    • Labs : creating compressed tables, evaluating table formats and configuration

Section 4 : Advanced HBase

    • Advanced Schema Modelling
    • Compression
    • Bulk Data Ingest
    • Wide-table / Tall-table comparison
    • HBase and Pig
    • HBase and Hive
    • HBase Performance Tuning
    • Labs : tuning HBase; accessing HBase data from Pig & Hive; Using Phoenix for data modeling