Bigdata/Hadoop testing online training

Overview

QA Training Hub - Online BigData/Hadoop Testing Training Institutes in Hyderabad, Bangalore, Chennai, Mumbai, Pune, Delhi, Noida, Gurgaon, India, USA, UK, Canada.

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

MODULE 8

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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