Resources
แหล่งข้อมูลที่น่าสนใจ
หนังสือ
พื้นฐาน (เหมาะสำหรับผู้เริ่มต้น)
- Fundamentals of Data Engineering - Joe Reis & Matt Housley
- Seven Databases in Seven Weeks - Luc Perkins & Eric Redmond & Jim Wilson
- Designing Data-Intensive Applications - Martin Kleppmann
- The Data Warehouse Toolkit - Ralph Kimball & Margy Ross
- Data Science for Business - Foster Provost & Tom Fawcett
- Practical Statistics for Data Scientists - Peter Gedeck & Peter Bruce & Andrew Bruce
- 97 Things Every Data Engineer Should Know - Tobias Macey
- Designing Cloud Data Platforms - Danil Zburivsky & Lynda Partner
- Data Pipelines Pocket Reference - James Densmore
Software engineering
- Python Crash Course - Eric Matthes
- The Pragmatic Programmer - Andrew Hunt & David Thomas
- Refactoring - Martin Fowler
- Clean Code - Robert C.Martin
- Software Engineering at Google - Titus Winters
- Docs for Developers - Jared Bhatti, Zachary Sarah Corleissen, Jen Lambourne, David Nunez, Heidi Waterhouse
Platform
- Terraform: Up & Running - Yevgeniy Brikman
Management
- Team Topologies - Matthew Skelton & Manuel Pais
- Radical Candor - Kim Scott
- Data Teams - Jesse Anderson
- Practical DataOps - Harvinder Atwal
- The Phoenix Project - Gene Kim, Kevin Behr, George Spafford
บทความ / เว็บไซต์
- https://awesomedataengineering.com/
- https://github.com/datastacktv/data-engineer-roadmap
- https://www.moderndatastack.xyz/stacks
- https://www.secoda.co/glossary
- https://www.gentlydownthe.stream/
- https://b-greve.gitbook.io/beginners-guide-to-clean-data/
- https://www.startdataengineering.com