HB Education & Consulting Pvt Ltd
In Chennai

Rs 18,000
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Important information

Typology Training
Level Beginner
Start Chennai
Class hours 40 hours of class
Duration 1 Month
Start Flexible
  • Training
  • Beginner
  • Chennai
  • 40 hours of class
  • Duration:
    1 Month
  • Start:

Big Data training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of core concepts will be covered in the course along with implementation on varied industry use-cases.

Important information

Where and when

Starts Location
39/40, 1st Main Road, Gandhi Nagar, Adyar, Ch-20. , 600020, Tamil Nadu, India
See map
Starts Flexible
39/40, 1st Main Road, Gandhi Nagar, Adyar, Ch-20. , 600020, Tamil Nadu, India
See map

What you'll learn on the course


Teachers and trainers (1)

Kavi arasu
Kavi arasu
Technical Trainer Hadoop

Course programme

Training Content


  • Introduction to Big Data and Hadoop
  • Getting Started with Hadoop


  • HDFS – Hadoop Distributed File System
  • HDFS Architecture
  • HDFS Components – Namenode, Datanode, Jobtracker, Tasktracker & Secondary Namenode
  • Fault tolerance & High availability
  • Failure handling – FSImage, Edits, Backup nodes
  • HDFS Commands

Hadoop Setup

  • Single Node setup
  • Multi Node setup
  • Scaling up/down Hadoop cluster
  • Replication distribution and automatic discovery


  • MapReduce Anatomy
  • MapReduce Examples
  • Running MapReduce programs in Hadoop
  • YARN Introduction
  • Hadoop 2.x vs Hadoop 1.x

Apache Pig

  • Apache Pig Introduction
  • Apache Pig Setup
  • Apache Pig Commands
  • Structured(including XML/JSON) data processing using Apache Pig
  • Unstructured data processing using Apache Pig
  • Best Practices for Pig

Apache Hive

  • Apache Hive – Introduction
  • Apache Hive – Setup
  • Managed tables & external tables
  • Apache Hive – Commands
  • Structured data processing using Apache Hive
  • PIG vs. HIVE
  • Partitioning in managed & external tables
  • Clustering in managed & external tables
  • Unstructured data processing using Apache Hive
  • Best Practices for Hive


  • Importing RDB data to HDFS
  • Importing RDB data to Hive
  • Importing RDB data to HBase
  • Exporting HDFS/Hive/HBase data to RDB


  • NoSQL – Introduction
  • HBase – Architecture
  • ZooKeeper
  • Region servers, MemCache & WAL
  • HBase commands
  • HBase filters
  • Region splits
  • Compactions (Major & Minor)
  • Common issues and fixes in HBase + Best practices
  • HBase Connectors for Pig & Hive


  • Flume with Local
  • Flume with HDFS
  • Flume with HBASE

Achievements for this centre