Data Engineering Design Patterns - Recipes for Solving the Most Common Data Engineering Problems

This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, and idempotency. Bartosz Konieczny shows you how to of build reliable end-to-end data engineering projects, from data ingestion to data observability.