Data Engineering for Small Teams

You are the developer, analyst or founder who ended up in charge of the numbers, with no data team and no time for a year-long platform project. This guide shows how to build a small, boring and dependable setup: loads that are safe to run twice, a clear raw, staging and mart structure, schedules that recover from failure, and a short list of quality checks that catch problems before your colleagu...