Fast-paced development environments can no longer afford to treat quality assurance as an afterthought, and that’s why fitted into the development cycle. One of the most efficient methods available for evolving your testing strategy, is Data Driven Testing(DDT). But, what is data driven testing, and why is essential to automated QA pipelines? This blog post serves as a guide for everything you wanted to know about Data Driven Testing: from defining it, identifying some of its advantages, methods to implement it, examples of real world use, and best practices. Finally, whether you consider yourself a developer, QA engineer, or technical writer, this blog post will help you identify the "why", the "what", and the "how" of it.