Data Engineering Design Patterns

This hands-on guide by Bartosz Konieczny offers practical insights into building reliable end-to-end data engineering projects, covering topics such as data ingestion, quality, and observability. It highlights common challenges faced by data engineers and presents design patterns, solutions, and real-life scenarios, utilizing open source tools and public cloud services. The book aims to equip readers with technology-agnostic strategies to improve their data systems and address common issues effectively.