In the world of data science and data engineering, ensuring the quality and integrity of your data is crucial. One tool that can help with this is Great Expectations, a Python library that allows you to test your data against a set of “expectations”.
Poor data quality can be a major issue for businesses, resulting in costly errors and incorrect decisions being made. To avoid these problems, it is important to take steps to ensure the quality of data being used.