Description:
This course teaches the fundamentals of automation testing in Big Data applications. Participants will learn how to test
various components and systems within the Big Data ecosystem, such as Hadoop, Spark, and Hive. The course covers testing
methodologies, tools, and best practices to ensure the reliability, performance, and scalability of Big Data applications.
Key Highlights:
- Master automation testing techniques in Big Data environments
- Learn to test Hadoop, Spark, Hive, and other components
- Understand testing methodologies and best practices
- Ensure reliability, performance, and scalability of Big Data applications
What you will learn:
- Learning Outcome 1
Acquire knowledge of the key concepts and components of Big Data automation testing.
- Learning Outcome 2
Gain hands-on experience in testing Hadoop, Spark, Hive, and other Big Data components.
- Learning Outcome 3
Learn testing methodologies and best practices specific to Big Data applications.
- Learning Outcome 4
Apply automated testing techniques to ensure reliability, performance, and scalability in Big Data environments.
Introduction to BigData Automation Testing
Overview of BigData |
Introduction to Automation Testing |
Importance of Automation Testing in BigData |
Implementing Filters and Slicers |
Challenges in BigData Automation Testing |
Setting up the Test Environment
Identifying the Testing Tools and Frameworks for BigData Automation |
Installation and Configuration of Testing Tools |
Setting up the BigData Environment for Testing |
Designing Test Strategies for BigData Automation
Understanding BigData Testing Requirements |
Identifying Test Scenarios and Test Cases |
Defining Test Data for BigData Automation Testing |
Implementing Automation Frameworks for BigData Testing
Overview of Automation Frameworks |
Choosing the Right Framework for BigData Automation Testing |
Implementing and Configuring the Automation Framework |
Data Quality and Validation in BigData Automation Testing
Importance of Data Quality in BigData |
Data Sampling and Profiling |
Validating the Data in BigData Systems |
Implementing Data Quality Checks in Automation Testing |
Performance Testing for BigData Systems
Understanding the Basics of Performance Testing |
Designing Performance Test Scenarios for BigData |
Executing Performance Tests on BigData Systems |
Error Handling and Logging in BigData Automation Testing
Identifying Common Errors in BigData Systems |
Implementing Error Handling Mechanisms |
Logging and Debugging Techniques for Automation Testing |
Reporting and Analysis in BigData Automation Testing
Generating Test Reports for BigData Testing |
Analyzing Test Results and Defects |
Effectively Communicating Test Findings |
Maintenance and Best Practices in BigData Automation Testing
Maintenance Strategies for Automation Tests |
Continuous Integration and Deployment in BigData Testing |
Best Practices for BigData Automation Testing |
After successful purchase, this item would be added to your Library.
You can access the library in the following ways :
- From Computer, you can access your library after successful login
- For other devices, you can access your library using this web app through browser of your device.
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