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Big Data & Hadoop Course for
Rs. 20000 16000 INR Early Bird Offer

This Course is designed to make you a certified practitioner by providing you hands-on training on Big Data & Hadoop.

What are you waiting for?  START THE COURSE NOW

What all you will get with this course?

Study Materials



Industry Grade Projects

Live Support

Course Completion Certificate

What is the course curriculum?

You will get the entire Big Data broken down into step-by-step lessons, making it very easy for you to grasp all the concepts & components.

Introduction to Big Data & Hadoop

  • What is Big Data and its definition
  • Big Data and its case studies
  • Types of data, Batch Processing
  • Introduction of Hadoop
  • Hadoop in the Industry
  • Hadoop characteristics
  • Hadoop ecosystem
  • Hadoop version and its components

Introduction to HDFS and YARN

  • What is HDFS and its important
  • Blocks
  • Namenodes and Datanodes
  • HDFS Federation
  • HDFS High Availability
  • Data Replication
  • Rack Awareness
  • HDFS File Write Anatomy
  • HDFS File Read Anatomy
  • HDFS Architecture
  • HDFC commands execution
  • HDFS Federation

Introduction to Hadoop and its Ecosystem,Map Reduce and HDFS

  • BigData,Factors constituting BigData
  • What is Hadoop?
  • Overview of Hadoop EcoSystem
  • Map Reduce - Concepts of Map,Reduce,Ordering,Concurrency,Shuffle,Reducing Concurrency
  • Hadoop Distributed File System (HDFS) Concepts and its Importance
  • Deep Dive in Map Reduce - Ececution Framework,Partitioner,Combiners,Data Types,Key Pairs
  • HDFS Deep Dive – Architecture, Data Replication, Name Node, Data Node, Data Flow
  • Parallel Copying with DISTCP, Hadoop Archives

Hands on Exercise

  • Installing Hadoop in Pseudo Distributed Mode,
    Understanding Important configuration files,
    their Properties and Demon Threads
  • Accessing HDFS from Command Line
  • Map Reduce – Basic Exercises
  • Understanding Hadoop Eco-system
  • Introduction to Sqoop, use cases and Installation
  • Introduction to Hive, use cases and Installation
  • Introduction to Pig, use cases and Installation
  • Introduction to Oozie, use cases and Installation
  • Introduction to Flume, use cases and Installation
  • Introduction to Yarn

Deep Dive in HIVE

  • 1. Introduction to Hive
  • What Is Hive?
  • Hive Schema and Data Storage
  • Comparing Hive to Traditional Databases
  • Hive vs. Pig
  • Hive Use Cases
  • Interacting with Hive
    • 2. Relational Data Analysis with Hive
    • Hive Databases and Tables
    • Basic HiveQL Syntax
    • Data Types
    • Joining Data Sets
    • Common Built-in Functions
    • Hands-On Exercise: Running Hive Queries on the Shell, Scripts, and Hue

Deep Dive in HIVE

  • 3. Hive Data Management
  • Hive Data Formats
  • Creating Databases and Hive-Managed Tables
  • Loading Data into Hive
  • Altering Databases and Tables
  • Self-Managed Tables
  • Simplifying Queries with Views
  • Storing Query Results
  • Controlling Access to Data
  • Hands-On Exercise: Data Management with Hive

Introduction to HBase Architecture

  • What is Hbase?
  • Where does it fits?
  • What is NOSQL?

Hadoop cluster Setup and Running Map Reduce Jobs

  • Running Map Reduce Jobs on Cluster

Advance Map Reduce

  • Delving Deeper Into The Hadoop API
  • More Advanced Map Reduce Programming, Joining Data Sets in Map Reduce
  • Graph Manipulation in Hadoop

Job and certification Support

  • Major Project, Hadoop Development, cloudera Certification Tips and Guidance and Mock Interview Preparation, Practical Development Tips and Techniques, certification preparation

Deep Dive in Pig

  • Introduction to Pig
  • What Is Pig?
  • Pig’s Features
  • Pig Use Cases
  • Interacting with Pig
  • Working with events in directives
  • Angular pipes: built in
  • Angular pipes: custom

Deep Dive in Map Reduce and Yarn

  • How to develop Map Reduce Application, writing unit test
  • Best Practices for developing and writing, Debugging Map Reduce applications
  • Joining Data sets in Map Reduce
  • Hadoop API’s
  • Introduction to Hadoop Yarn
  • Difference between Hadoop 1.0 and 2.0
  • End to End PoC using Yarn or Hadoop 2.0
    • dReal World Transactions handling of Bank
    • Moving data using Sqoop to HDFS
    • Incremental update of data to HDFS
    • Running Map Reduce Program
    • Running Hive queries for data analytics

What are you waiting for?  START THE COURSE NOW

100% Flexibility

You will get 100% flexibility in completing the course, and can access it via desktop, tablet and mobile.

Cloud Labs

You practicals & data-sets will be deployed in a production grade cloud lab environment.

Live Support

You will get one-to-one live online live support whenever you have any difficulties.