Your Journey to Master Apache Hadoop Starts Here

You must be tired of hearing this, but data is everywhere! Regardless of your job or industry, the amount you are being surrounded by data is absolutely unfathomable. And with such volumes of data, there has been a global demand for scaling up data processing, and data storage systems. That is where Apache Hadoop comes to the rescue.

We hope this course will help you leverage Apache Hadoop to tackle new problems produced by big data efficiently.

In this course, we will learn about Big Data, its applications and its challenges, and how Hadoop helps us in dealing with Big Data. We will be covering the components of Hadoop, its internal working, along with a comparison between Hadoop 1.x, Hadoop 2.x, and Hadoop 3.x

The market for Big Data Analytics is growing tremendously across the world and such a strong growth pattern followed by market demand is a great opportunity for all IT Professionals. Here are a few Professional IT groups, that are continuously enjoying the benefits and perks of moving into the Big Data domain.

  • Developers and Architects

  • BI /ETL/DW Professionals

  • Senior IT Professionals

  • Testing Professionals

  • Mainframe Professionals

  • Freshers

  • Big Data Enthusiasts

  • Software Architects, Engineers, and Developers

  • Data Scientists and Analytics Professionals


  • Good to have knowledge of any programming language like Python, Java, Scala etc.

Key Takeaways from the Hadoop Course

  • Understanding the Big data challenges and applications

  • Understanding MapReduce in Apache Hadoop

  • Understanding HDFS 

  • Understanding YARN

  • Learn how Hadoop 1.x, Hadoop 2.x, Hadoop 3.x differ from one another

What I need to start the Apache Hadoop Course?

  • A working laptop/desktop

  • A working Internet connection

  • Basic knowledge of Python

Course curriculum

  • 1
    Introduction to the Course
    • Course Handouts
    • Course Introduction
  • 2
    What is Big Data?
    • What is Big Data?
    • Challenges with Big Data
    • Applications of Big Data
    • Quiz: Big Data
    • Distributed Systems
    • Quiz: Distributed Systems
  • 3
    Introduction to Apache Hadoop
    • Introduction to Apache Hadoop
    • Components of Apache Hadoop
    • Hadoop Ecosystem
    • Quiz: Introduction to Hadoop
    • Understanding Hadoop 1.x
    • Quiz : Hadoop 1.X
  • 4
    • What is MapReduce
    • Quiz : What is MapReduce
    • MapReduce Stages
    • Quiz : MapReduce Stages
    • Data Flow with MapReduce
    • Quiz : Data Flow with MapReduce
    • MapReduce Architecture
    • Quiz : MapReduce Architecture
    • Word Count in MapReduce
    • Quiz : Word Count in MapReduce
    • MapReduce Business Problem
    • Quiz : MapReduce Business Problem
    • Anatomy of a MapReduce Job Run
    • Quiz : Anatomy of a MapReduce Job Run
  • 5
    • Introduction to Hadoop 2.x
    • Quiz : Introduction to Hadoop 2.x
    • Introduction to HDFS
    • Quiz : Introduction to HDFS
    • HDFS Components
    • Quiz : HDFS Components
    • NameNode Backups
    • Quiz : NameNode Backups
    • Understanding HDFS Blocks
    • Quiz : Understanding HDFS Blocks
    • Data Replication in HDFS
    • Quiz : Data Replication in HDFS
    • Highly Available Architecture
    • Quiz : Highly Available Architecture
    • HDFS Federation
    • Quiz : HDFS Federation
    • Failover and Fencing
    • Quiz : Failover and Fencing
    • Read in HDFS
    • Quiz : Read in HDFS
    • Write in HDFS
    • Quiz : Write in HDFS
  • 6
    • What is YARN?
    • Quiz : What is YARN?
    • Yarn Architecture
    • Quiz : Yarn Architecture
    • Scheduling in YARN
    • Quiz : Scheduling in YARN
    • How YARN runs an Application?
    • Quiz : How YARN runs an Application?
    • MapReduce vs YARN Components
    • Quiz : MapReduce vs YARN Components
    • Hadoop 2.x vs Hadoop 3.x
    • Quiz : Hadoop 2.x vs Hadoop 3.x