BIG DATA TESTING TRAINING.
Build your next skill.

INTRODUCTION

➢ Introduction to Big Data

➢ What is Big data Testing?

➢ Advantages and disadvantages of Big data testing

➢ Understanding Hadoop and Hadoop ecosystems

➢ Data formats in Big data

➢ Data flow concepts

Hadoop Components

➢ Hadoop Architecture

➢ Introduction to Hive

➢ HiveQL Syntax

➢ Use cases

➢ Map Reduce

➢ Creating Map Reduce Application

➢ Test cases

➢ PIG

➢ PIG Architecture

➢ PIG use cases

➢ Data Analysis

Big data tools and use cases

➢ Introduction to Oozie

➢ What is Sqoop and Sqoop testing

➢ Testing with Pig and Sqoop

➢ Yarn

➢ Hadoop Components Use cases and installation

Big data testing

➢ Understanding Big data Testing

➢ Why do we need Big data Testing?

➢ Types of Big data Testing

➢ Big Data Testing Strategy

➢ Test cases

Database Testing

➢ Introduction to Database Testing

➢ Data flow and work flow

➢ Data staging validation

➢ Input and output validation

Architecture Testing

➢ Why we need Architecture Testing

➢ Testing approach

➢ Performance Testing

➢ Functional Testing

Testing of Big data application

➢ Test Environment

➢ Writing Test cases

➢ Executing test strategy

➢ Applying Testing Steps

➢ Big data test with real time data

Advanced Topics

➢ Roles and Responsibilities of a Tester in Big data application

➢ Testing challenges

➢ Advanced Testing trends

➢ Big data Testing project and interview question discussion

Added Features

➢ Resume Preparation

➢ Resume Preparation Tips

➢ Sample Resumes

➢ Soft copy of Notes for each module

➢ 4 case studies on use case diagrams

➢ 2 Real-time project specifications

Interview Preparation

➢ Interview Preparation Tips

➢ Sample Interview Questions

➢ How to clear an Interview