A typical GitHub workflow // what to expect

If you are working on any relatively modern stack, odds are you’ll use GitHub (or something similar).

I remember feeling like I was thrown into the fire a bit when I first took a job that used it heavily.

While there is a lot to learn about GitHub, in this video I want to show you the main things you’ll need to know and what a typical workflow might look like.

New to data engineering? Check out some of my free starter guides:
– https://bit.ly/kds-guides

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Are you a small business struggling to implement a stack on your own? I may be able to help.
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▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬
0:00 – Intro
0:22 – Clone Project
1:23 – Create Branch
2:23 – Develop & Push
3:14 – Pull Request
4:44 – Code Review
7:48 – Merge
8:54 – Release
▬▬▬▬▬▬ Useful Links 🔗 ▬▬▬▬▬▬
► https://github.com/

▬▬▬▬▬▬ Want to learn more? 📚 ▬▬▬▬▬▬
Data-Build-Tool (dbt) ► https://bit.ly/3HCS0ht
Snowflake ► https://bit.ly/3mTpqk0
GitHub ► https://bit.ly/331QnuJ
Terraform ► https://bit.ly/3EV4wam
Power BI ► https://bit.ly/3JGErQ3

▬▬▬▬▬▬ Connect with me 🔄 ▬▬▬▬▬▬
Twitter ► https://www.twitter.com/kahandata
Newsletter ► https://www.kahandatasolutions.com/blog
Website ► https://www.kahandatasolutions.com

A typical GitHub workflow // what to expect // github tutorial for beginners
#kahandatasolutions #dataengineering #github