7 Books Every Data Engineer Should Master

Описание: 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

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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