97 Things Every Data Engineer Should Know

With this in-depth book, data engineers will learn powerful, real-world best practices for managing data-both big and small. Contributors from companies including Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned on cleaning, prepping, wrangling, and storing data.

You'll learn best practices for:



Building pipelines
Stream processing
Data privacy and security
Data governance and lineage
Data storage and architecture
Ecosystem of modern tools
Career advice
Data team makeup and culture