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
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