Course Summary

You can replace hard-coded values in Performance tests with test data loaded from CSV spreadsheets and other sources by editing the JMeter script. This course shows how to make the most of BlazeMeter's built-in support for test data in Performance Testing. 

In this course, we will:

  • Explain how to prepare the test script in JMeter to use BlazeMeter test data
  • Show how to parameterize a Performance test to use data from CSV files
  • Teach you how to amend static test data with synthetic test data
  • Demonstrate how to share test data with team members

Instructors

 

 

 

 

Keith Puzey is a specialist in test data and test automation, and all-around continuous testing ninja. He has over 30 years of experience and is a member of the BlazeMeter Platform team at Perforce.

 

 

 

 

Ruth Kusterer is a technical writer for Perforce. She has over ten years of experience with enterprise developer tools and open-source software.

 

 

 

 

Jacob Sharir is the co-creator of BlazeMeter University, Jacob has more than 7 years of experience in managing a globally distributed team in the fields of performance testing, technical customer support, and Computer Networking.

Roles

This course is of interest to QA engineers and software testers who ensure the quality and functionality of web applications and maintain test automation scripts for Performance tests. 

Prerequisites 

This course uses concepts and procedures that were introduced in the BlazeMeter PerformanceTesting Fundamentals and BlazeMeter Test Data: Fundamentals classes. 

Course Format

Textual and video learning components, exam.

Exercises 

This course does not include guided exercises. 

Required Software

The BlazeMeter Test Data for Performance Testing class requires a free or enterprise-level BlazeMeter account, and the free Apache JMeter application. 

Course Modules and Durations 

In a series of video clips and text, this course will cover the following tasks: 

  1. Introduction (2 min)

  2. Performance Testing Refresher (5 min)

  3. Use CSV Data in Performance Tests (15 min)

  4. Use Synthetic Test Data in Performance Tests (15 min)

  5. Use TDM F&R Models in Performance Tests (5 min)

  6. Data Settings, Data Sharing, and Previewing (15 min)

  7. Exam 

Total estimated duration: 1 hour

Course Completion Criteria 

This course contains a final exam. To complete the course, you must pass the final exam with a score of 80% or higher. 

Upon completion, you will receive: 

  • A certificate validating the course completion.
  • The Test Data: Performance badge, Value: 800 points.

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