Want To Learn CI/CD For FREE?


Extract. Transform. Read.

A newsletter from Pipeline: Your Data Engineering Resource

Hi past, present or future data professional!

As someone who in the not-too-distant past Googled how to use a certain kitchen utensil (it may or may not have been a can opener), I can tell you there’s not much you won’t find on the search engine–except for how to use one of Google’s own products.

In conversation with a peer, I realized that a process I take for granted, deploying a cloud function from GitHub using GitHub Actions, is lacking documentation. Sure, you can find bits and pieces from each platform, but in trying to answer a question, I couldn’t find anything that would tell you how to go from your IDE to GitHub to an automated Google Cloud Function.

Instead of rubbing my hands together with glee knowing I’ve figured it out after deploying nearly 200 cloud functions, I took the extra step of creating a 5-day course that teaches you, with code, how to deploy a function on the cloud–an incredibly marketable skill for any data engineering candidate to possess and demonstrate.

To spread knowledge, this course is 100% free and can be completed at your own pace.

Between GitHub & Google Cloud, you’ll learn how to:

  • Structure GitHub files for smoother deployments
  • Build a CI/CD pipeline from scratch
  • Leverage GitHub Actions to deploy code
  • Schedule your build to create an automated solution
  • Run & validate to avoid errors

***Enroll here***

When you sign up, you’ll also gain access to a private repository containing code examples, including Python code for a simple ETL pipeline that you can alter and run.

This is my first time presenting knowledge in course form, so I’m excited to hear how it helps you.

Send me a message: zach@pipelinetode.com.

Until next time–thanks for ingesting,

-Zach

Pipeline To DE

Top data engineering writer on Medium & Senior Data Engineer in media; I use my skills as a former journalist to demystify data science/programming concepts so beginners to professionals can target, land and excel in data-driven roles.

Read more from Pipeline To DE

Extract. Transform. Read. A newsletter from Pipeline Hi past, present or future data professional! When you apply to data analysis, data engineering or data science jobs, you likely consider factors like company name, culture and compensation. Caught up in the excitement of a fresh opportunity or compelling offer you’re neglecting an important part of your day-to-day reality in a new role: What stage of data maturity the organization is in. If you’re looking for experience building something...

Extract. Transform. Read. A newsletter from Pipeline Sponsored by Basejump AI. Don't just query your data; chat with it. Learn more. Hi past, present or future data professional! If you’re a hybrid or remote worker (or online student) you know the FOMO that sets in when you leave your desk and something at work needs your immediate attention. Even though data engineering is a role that can be done from anywhere, having to open, set up and position a laptop isn’t ideal in all situations like...

Extract. Transform. Read. A newsletter from Pipeline: Your Data Engineering Resource Presented by Basejump AI Use natural language prompts to chat with your database in Basejump’s intuitive interface, or embed it directly in your application. Book your demo here. Hi past, present or future data professional! One thing that makes my work day easier is when I’m Google-ing (as all software developers do) a problem and I come across the holy grail of solutions: A one-line implementation. Like...