I've been running uv and pipx as my Python toolchain for a while now. It's a good setup — fast, clean, and uv in particular has earned its reputation as the current gold standard for Python package management. So when Pixi came up in conversation recently, I spent some time actually thinking through whether the switch makes sense.
Bad data leads to bad decisions. As data engineers, one of our most important jobs is ensuring data quality. Let's explore how to validate and maintain high-quality data!
Hey there! If you're stepping into the world of data engineering, you've probably heard the term "data pipeline" thrown around quite a bit. Let's break down what they are and why they're so important.