BIG DATA TESTING TRAINING

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