Course Details

Students from all background.
Professionals with analytics and data management profile.
Business Intelligence Professionals.
Project Managers.
Data Scientists.
Professionals from testing and mainframe background.

Though Big data & Hadoop technology provides wide range of career options to name few:
Hadoop Admin
Hadoop Developer
Data Scientist
Software engineers
Business Analyst

Career with Big Data looks promising and is forecasted as upward trend that progresses with time. The job trend is long lived phenomenon as Big Data and its technologies are here to stay, few companies are working on reconstruction of their search engines with the help of Hadoop technologies. Also it has job opportunities for all a fresher or experienced professional.


  • What is Hadoop?
  • What is Big data?
  • What comes under big data?
  • What are the challenges for processing big data?
  • Traditional Approach and its Limitation
  • What are the benefits of big data?
  • What technologies support big data?
  • Solution of big data
  • Hadoop Architecture
  • Advantages of Hadoop
  • What is HDFS
  • Where to use HDFS
  • Where not to use HDFS
  • Features of HDFS
  • HDFS Architecture
  • HDFS Concepts
  • HDFS Architecture 1.x and its daemons
  • HDFS Architecture 2.x and its daemons
  • HDFS Federation
  • HDFS High availability
  • Scheduler
  • Rack Awareness
  • HDFS commands
  • What is MapReduce
  • Why MapReduce
  • How MapReduce work
  • Partitioners
  • Combiners
  • Hadoop Streaming
  • Failures in MapReduce
  • Introduction to YARN
  • Limitation of Current Architecture
  • Apache Hadoop Yarn – Concepts & Applications
  • JobSubmission and Job Initialization
  • Failure Handling in YARN
  • Task Failure
  • Application Master Failure
  • Node Manager Failure
  • Resource Manager Failure
  • What is hive
  • Features of Hive
  • Architecture of Hive
  • Working of Hive
  • What is Schema on Write?
  • What is Schema on Read?
  • Advantages of Schema on Write
  • Advantages of Schema on Read
  • Disadvantages of Schema on Write
  • Disadvantages of Schema on Read
  • Hive datatypes
  • Hive Statements
  • What is pig?
  • Why Do We Need Apache Pig?
  • Features of Pig
  • Pig Architecture
  • Apache Pig Vs MapReduce
  • Apache Pig Vs SQL
  • Apache Pig Vs Hive
  • pig run modes
  • Pig latin concepts
  • Pig Data Types
  • Pig operators
  • Introduction
  • Working of sqoop
  • Sqoop Commands
  • Apache Flume – Introduction
  • Applications of Flume
  • Advantages of Flume
  • Features of Flume
  • Apache Flume - Data Transfer In Hadoop
  • Apache Flume – Architecture
  • Apache Flume - Data Flow
  • Apache Flume - Sequence Generator Source


About us

TIMTS is a leading international brand in Online Education and specialized in Management, Information Technology, eSecurity training and consulting.

We Are Social On

 C-32, SECTOR-2 NOIDA,201301
 +91 7835053330