A seasoned Software Architect with over 20 years of experience, and I'm passionate about exploring the ever-evolving landscape of computer software
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”. In this blog post, we’ll explore a particular feature of Great Expectations: the in-memory context.
Continue reading “Great Expectations: An Introduction to In-Memory Context”
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. One way to do this is to implement a data quality solution such as Great Expectations.
Continue reading “Unlock Quality Insights with Great Expectations Python Library”