7 Books Every Data Engineer Needs to Read скачать в хорошем качестве

7 Books Every Data Engineer Needs to Read

Designing Data-Intensive Applications https://amzn.to/45QIzci Fundamentals of Data Engineering https://amzn.to/4lMN3Xh Data Governance https://amzn.to/4myGcBZ Storytelling With Data https://amzn.to/4lH98pZ Always good to have for any DE: The Data Warehouse Toolkit https://amzn.to/45Sd0yH SQL Performance Explained https://amzn.to/4lOy1QK The Pragmatic Programmer https://amzn.to/47eXsaz Level up from “pipeline builder” to “senior engineer.” In this video I share the 7 books that actually changed how I design systems, ship stable data products, and interview with confidence. Each pick comes with one takeaway, one field exercise, and one interview line you can use tomorrow. Want the Reading Tracker and Governance Card template? Check the pinned comment. What you’ll learn: Systems trade-offs you can explain in one sentence Data product SLOs and quality checks that leadership cares about Dimensional modeling decisions that prevent double counts SQL plan fluency that cuts p95 from seconds to milliseconds Maintainability habits that end “one-off” nightmares Governance that makes AI safe, auditable, and fundable Storytelling that gets your work adopted Affiliate Resources (Books) Designing Data-Intensive Applications — Martin Kleppmann https://amzn.to/45QIzci Fundamentals of Data Engineering — Joe Reis, Matt Housley https://amzn.to/4lMN3Xh Data Governance — John Ladley https://amzn.to/4myGcBZ Storytelling With Data — Cole Nussbaumer Knaflic https://amzn.to/4lH98pZ Always good to have for any DE: The Data Warehouse Toolkit — Ralph Kimball, Margy Ross https://amzn.to/45Sd0yH SQL Performance Explained — Markus Winand https://amzn.to/4lOy1QK The Pragmatic Programmer — Andrew Hunt, David Thomas https://amzn.to/47eXsaz Resources (Udemy courses to pair with your reading) • The Complete SQL Bootcamp: Go from Zero to Hero — Jose Portilla https://trk.udemy.com/N9qkav • Taming Big Data with Apache Spark 4 and Python - Hands On! https://trk.udemy.com/vPaNdO • The Complete Hands-On Introduction to Apache Airflow 3 — Marc Lamberti https://trk.udemy.com/3JNe1X How to use this video For each chapter you read, complete two hands-on labs from the paired course. Reading plus reps beats passive reading every time. Chapters: 00:00 – Introduction & Why These Books Matter 00:41 – About the Presenter 00:54 – Book 1: Designing Data-Intensive Applications 01:48 – Book 2: Fundamentals of Data Engineering 02:46 – Book 3: The Data Warehouse Toolkit 03:34 – Book 4: SQL Performance Explained 04:25 – Book 5: The Pragmatic Programmer 05:10 – Book 6: Data Governance 06:39 – Book 7: Storytelling with Data 07:26 – Bonus: Top Udemy Courses for Data Engineers 09:11 – 8-Week Data Engineering Roadmap 09:58 – Final Thoughts & Next Steps — What you’ll learn: • The 7 best books for data engineers (with summaries) • Top Udemy courses to boost your skills • An 8-week step-by-step learning plan • Career tips and real-world insights • How to build a strong foundation in data engineering