I get asked super often how to become a data engineer. That's why I decided to start this cookbook with all the topics you need to look into.
It's not only useful for beginners, professionals will definitely like the case study section.
Here's the download shortcut:
Data Engineering Cookbook PDF
I split this cookbook into multiple parts
- In part one you will learn the basics
- Part two will contain a real world data engineering example
- The third part contains over 30 case studies with links to interesting presentations
If you have some cool links or topics for the cookbook, please become a contributor. Pull the repo, add them and create a pull request.
Please pull only the newest release-x.x branch.
This way we keep the master branch clean and I don't have to mess around resolving conflicts. You just need to change the .tex file. I'll recompile it later when I merge the branch with the master
For comments please use the "Issues" function.
Everything is free, but please support what you like!
Join my Patreon and become a plumber yourself:
Link to my Patreon
Subscribe to my Plumbers of data science YouTube channel: Link to YouTube
Check out my personal blog. Get updated via mail and get on my mailing list: andreaskretz.com
I have a Medium publication where you can publish your data engineer articles: Medium publication