Building trustworthy data pipelines because AI cannot learn from dirty data
How to teach programming workshops to adults
How to prepare an enjoyable programming workshop that teaches people the skills they need without overwhelming them with new knowledge.
15 Apr 2022
How does a bad interview look like in data engineering
What you should avoid when you interview programmers for a data engineer positition
08 Apr 2022
How to throw useful exceptions
How to make debugging easier by paying attention to the errors you report
01 Apr 2022
Why are programmers slow, and what to do about it?
The one practice that makes every team faster (in the long run)
25 Mar 2022
How to advertise to software engineers, or how do we make terrible tech choices
Why do programmers make wrong decisions when they choose the tools they use?
18 Mar 2022
Data engineers are data librarians or how to upgrade your data lake to 2500 BCE technology.
What can data engineers learn from (ancient) librarians?
11 Mar 2022
I worked as a data scientist and that was the worst job I have ever had.
I believed in the Sexiest Job of 21 Century hype. I was wrong.
04 Mar 2022
MLOps engineer, you will need those three books every day!
Don't reinvent the wheel as a MLOps engineer. The 3 books you must read in 2022
25 Feb 2022
Why should you use a feature store
Benefits of having a feature store and what happens when you don't have one
18 Feb 2022
Data pipeline documentation without wasting your time
How to document an ETL pipeline or ML inference pipeline without doing useless work
11 Feb 2022
How to run batch inference using Sagemaker Batch Transform Jobs
Running a batch machine learning job using Sagemaker and data stored in S3.
04 Feb 2022
How to build maintainable software by abstracting the business rules in data engineering
Are we building the right abstractions?
28 Jan 2022