I've spent the last 8+ years working with data, in one way or another: running ad-hoc analysis over massive amounts of data, building real-time internal applications, designing and building data warehouses and pipelines in the cloud, doing streaming processing and analysis, or building an analytics tracker at massive scale from scratch.

Today I want to share with you a few things I've learned along the way – what worked, what didn't, and some real-life examples to top it off.