Hadoop Testing Online Training

BigData /Hadoop Testing MR UNIT & SHELL Hadoop Automation testing

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BigData Hadoop Testing Tools Online Course Training
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Apache Hadoop is a java based open source programming framework that supports huge amounts of data in a distributed environment. It is sponsored by the Apache Software Foundation. As Hadoop deals with vast amounts of data, it is associated with the phrase “big data”.

Hadoop architecture consists of two main components namely MapReduce and HDFS (Hadoop Distributed File System). MapReduce is the java based processing part that is responsible for programming the tasks. It is also known as the Task Tracker. HDFS is responsible for the data storage. It is also known as the Data Node.

Some of the supplemented projects used with Hadoop are HBASE, PIG, HIVE, SQOOP, and ZOO KEEPER. These are used for the fast processing of big data. The Hadoop framework is widely used by top enterprises like Google, Yahoo and IBM. The operating systems supported by Hadoop are Windows and Linux.

Benefits of using Hadoop

  • Cost effective by storing data affordably per terabyte
  • Provides a fault tolerant environment
  • Provides affordable and flexible data storage
  • Provides a powerful framework
  • Redundant and reliable
  • Works with both structured and unstructured data

To deal with Hadoop, you need to have good analytical skills and some experience in java programming language. If you are new to java, adopt our Java course which gives you hands-on training on all the concepts of both basic and advanced java programming language with examples.

Due to its enormous size, testing big data is definitely not an easy task. Our trainers give you real time training experience on techniques on how to test Hadoop. We also train you on all types of Hadoop testing which include unit testing, integration testing, performance testing. We give you training on all the types of testing using real time examples.
For more information you can visit the Hadoop Official site here

Big Data Testing Online Training Course Content

Module 1

  • Introduction of Big Data Testing
  • Understanding what is Big data
  • Difference between ETL and big data testing
  • Types of testing in BIGDATA

Module 2

  • Introduction to BI, ETL and Data warehouse testing
  • Architecture OLTP v OLAP
  • What is Data Warehouse?
  • What is Enterprise Data Warehouse?
  • What is Data Marts • Source System and target Systems
  • Staging Area Drill up and Drill down
  • Facts and Dimensions • Slowly Changing Dimensions

Module 3

  • Introduction to HDFS and file operations & Unix file system
  • Hadoop Distributed File System (HDFS) Concepts and its Importance
  • HDFS Deep Dive – Architecture, Data Replication, Name Node, Data Node, Data Flow
  • Unix Basic
  • HDFS files operations
  • HDFS files system HANDS ON

Module 4

  • Introduction of Hive and Testing Hive & Hadoop SETUP
  • What Is Hive?
  • Hive Schema and Data Storage
  • Comparing Hive to Traditional Databases
  • Hive vs. Pig
  • Hive Use Cases
  • Interacting 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
  • Understanding the test cases of Hive  & Testing Data loaded in hive

Module 5

  • Map Reduce Introduction and Testing Mapr JOB
  • Introduction OF MAP and REDUCE
  • Understanding MAP and Reduce Algo
  • How TO run MAP and REDUCE job 
  • Validating and testing the MAP Reduce job

Module 6

  • Introduction of PIG & testing with PIG Latin
  • Introduction to Pig
  • What Is Pig?
  • Pig’s Features
  • Pig Use Cases
  • Interacting with Pig
  • Pig Latin Syntax
  • Loading Data
  • Simple Data Types
  • Field Definitions
  • Data Output
  • Viewing the Schema
  • Filtering and Sorting Data
  • Commonly-Used Functions
  • Hands-On Exercise: Using Pig for ETL Processing
  • Understanding the test cases of pig & Testing Pig Job

Module 7

  • SQOOP Testing
  • what is Sqoop ?
  • why Sqoop ?
  • Importing and exporting data from Sqoop to HDFS
  • Sqoop test case and Sqoop testing


  • Introduction of FLUME, ZOOKEEPER and Oozie
  • Introduction FLUME with its use cases for testing
  • Introduction ZOOKEAPER (Understanding the importance of ZOOKEEPER)
  • Introduction Oozie with its use cases for testing

Module 9

  • INTRODUCTION OF ADVANCE CONCEPT OF Hadoop Testing MR UNIT and shell Hadoop Automation testing
  • Hadoop Automation
  • scope of Hadoop Automation
  • Sample shell scripts or Python Scripts for file testing in Hadoop
  • INTORDUCTION TO MR unit testing
  • Hand on session
For Bigdata Hadoop Online COURSE : Click here
For SAP Online COURSE: Click here
For ETL Online COURSE : Click here
For SELENIUM Online COURSE : Click here
For Automation Online COURSE [HP+QTP/UFT] : Click here

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