Just a bunch of random thoughts & scribbles from my January adventures in codingland.

Data Quality

Data Quality is an ongoing challenge I’ve been dancing around for the last 2 years. This is a topic that required a big mindshift when I switched from software engineering to data worlds.

With software it’s (usually) quite easy to say if something works, or doesn’t. From a developer point of view, if there’re no exceptions and alerts coming in after a release then I could assume something works.

When I started my coding adventures in 2011, I got hooked on pretty much any tech that crossed my path. Backend with Rails, frontend with CSS & React, infrastructure automation, Ansible, Docker, you name it.

I was all over it. Except for all things data related. I saw them as boring. Unworthy of my attention.

Then I joined Quantia.ai – a company for which the data is the core of the business. I quickly understood how wrong I was. Data engineering is not only interesting, but freaking challenging.