5 of the Biggest Data Nightmares 👻
The spookiest things you want to avoid on your data team and in your data stack this season and every season
With October comes small yet scary bugs emerging from dusty crevices, magic potions brewing unknown surprises, and costumes disguising the most unsuspecting problems.
If you think I’m talking about spiders, witches, and ghosts, I’m not. When I think of the scariest, spookiest things, failed data pipelines, legacy code that hasn’t been updated in months,…
Keep reading with a 7-day free trial
Subscribe to Learn Analytics Engineering to keep reading this post and get 7 days of free access to the full post archives.

