Big Data Testing Training Course

✅ About Software Testing

✅ Objective of Software Testing

✅ Role of Software Testing

✅ Benefits from Software Testing

✅ Definition of Testing

✅ Types of Testing

STLC and Test Process

✅ Test Process

✅ Test Team

✅ STLC

✅ Test Plan

✅ Test Cases

✅ Test Execution

✅ Bug Reporting

✅ Test deliverables

✅ Test Exit Criteria

✅ Unit Testing

✅ Integration Testing

✅ Interface Testing

✅ System Testing

✅ Performance Testing

✅ Acceptance Testing

1. Alpha Testing

2. Beta Testing

✅ Regression Testing

Test Case Design Techniques

✅ White Box Testing

✅ Statement Coverage

✅ Edge/Branch Coverage

✅ Condition Coverage

✅ Path Coverage

✅ Cyclomatic Complexity

✅ Boundary Value Analysis

✅ Equivalent Partition

✅ Input/output domain Testing

✅ Comparison Testing

✅ Decision Table

✅ State Transition Diagram

✅ Orthogonal Array

✅ Flow Chart

✅ Use cases

✅ Introduction to Big Data Testing

✅ Big data Testing Vs. Traditional database Testing

✅ Hadoop Ecosystem

✅ Area of testing in Big Data

✅ Test Strategy in Big Data testing

✅ Introduction of Hive

✅ Understanding the Data Flow in Hive

✅ Data Validation in Hive

✅ Map Reduce Introduction

✅ Validating and testing the MAP Reduce job

✅ Steps to Test MR Job

✅ Running MR Job

✅ Introduction Pig

✅ High Level Architecture

✅ Test Area for Pig Testing

✅ Sqoop testing

✅ Importing and exporting data from Sqoop to HDFS

✅ FLUME with its use case for testing

✅ Introduction ZOOKEEPER

✅ Introduction Oozie with its use cases.

✅ Introduction to MR unit testing

✅ Introduction of advance concept of Hadoop Testing MR UNIT

✅ Shell Hadoop Automation testing

✅ Sample shell scripts for file testing in Hadoop

✅ Python Scripts for file testing in Hadoop

✅ Hadoop automation testing with query surge

✅ Hadoop automation with Testing whiz