Best Practices

In this section I will go through what I consider to be bad data engineering practices and how I think they should be better addressed.

Although focused on data engineering, which is what pays my bills, many of the recipes presented here can also be useful in multiple disciplines.

Danger

All the posts in this section are highly opinionated. Feel free to reach out to me and start a discussion if you do not agree with some of them.