Fundamentals of unit testing
In data engineering, unit tests are essential to validate data transformations, computations, and other data manipulation tasks, ensuring that every function or method in your pipeline works correctly. These tests enable you to catch and correct errors early in development, saving time and resources in the long run.
In the upcoming sections, we will explore the fundamentals of unit testing, discussing its principles, advantages, and how to implement it effectively in your code. We will cover various aspects such as writing testable code, structuring your tests, and using testing frameworks in Python, such as pytest and unittest. Whether you are new to the concept or looking to enhance your testing skills, this section will serve as a comprehensive guide to mastering unit testing in data engineering.
Importance of unit testing
Unit testing is a fundamental component of creating reliable, maintainable, and scalable data pipelines. It is also integrated...
