SBP 5 – implement shift left testing (SLT) processes!
It’s all about the data, but what data if it’s not cataloged and tested to a degree of correctness that downstream derived data, insights, and metrics are correct? Test-driven design, shift left testing (SLT), and quality SLAs are essential to be able to track errors in data, trends, and any derived use cases so that trust can be established.
Making sure our data solutions are top-notch and reliable is paramount. SLT, a game-changing approach in software engineering, is just as critical when it comes to data engineering. By integrating testing earlier into the development process, organizations can anticipate and mitigate potential issues, enhancing both the quality and efficiency of their data solutions. In this section, you will learn how SLT processes will benefit your engineering goals.
Understanding SLT
Shift Left Testing (SLT) is more than just a technique – it is a philosophy. The core...
