Art of Data Engineering

Art of Data Engineering

Share this post

Art of Data Engineering
Art of Data Engineering
I Tested Masthead for Data Management

I Tested Masthead for Data Management

Here's What Stood Out.

Tim Webster's avatar
Tim Webster
Mar 12, 2025
∙ Paid
4

Share this post

Art of Data Engineering
Art of Data Engineering
I Tested Masthead for Data Management
Share
Photo by Timothy Dykes on Unsplash

Data can be a battle zone. Cloud data management is hard.

If you’re not careful, things will get out of control — fast. This goes for BigQuery, Snowflake, and Databricks. Treat them like dumping grounds, and you’ll get buried in cost, performance, and all-around chaos — yes, a mess!

Once that happens, you’re on fire watch. Putting out fires will be your number one priority for a long, long time.

What’s worse, you and your team will only have yourselves to blame. All these systems are amazing and do some incredible things — things I could only dream of when I got into data — but you don’t see the hidden side of dealing with them until it’s too late: cost, clutter, and chaos, in that order.

I like to joke that cloud providers are like casinos — the house always wins. They are not endless or bottomless (as much as they want you to believe they are); there’s a price to pay. You will pay one way or another — with time (when you have to clean up) or money (when you mess up). And when you let the wheels come off, you’re going to get nailed.

Keep reading with a 7-day free trial

Subscribe to Art of Data Engineering to keep reading this post and get 7 days of free access to the full post archives.

Already a paid subscriber? Sign in
© 2025 Tim Webster
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture

Share