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Data Engineering/Data Pipeline repo Project Template (free).

Probably one of the hardest hurdles to jump over when starting out in anything new, including Data Engineering and Data Pipelines, is knowing where to start. It always can be a little daunting. One aspect that can make or break any project, giving you the confidence to move forward like Sparticus to conquer, is having a good project template for your repository of code and logic that will encapsulate and present your code to others.

I’ve created a free and hopefully helpful Python blank GitHub project template that you can clone, change, and steal to your heart’s desire. I hope it will be helpful and set you going in the right direction for your next project.

Data Engineering and Pipeline project template.

Here is the link to the free GitHub Data Engineering project template. It includes the following simple features to help push you towards using best practices and give you the confidence to move forward to produce the best code and data pipelines possible.

  • Docker and docker-compose
  • requirements.txt
  • README.md
  • main or src directory with main.py file.
  • testing setup using pytest to ensure coverage.
  • .gitignore

Read through the instructions for usage in the README of the GitHub template to modify for your usage.

Generally, the template should help push you towards the following goals.

  • README that has lots of documentation.
  • Docker and docker-compose that pushes you towards containerization and ease of use.
  • tests that is a major part of your repo and easy to run.
  • Good clean code structure layout.

The small things are what can make a difference, starting out on the right foot with a clean repo for a pipeline is going to re-enforce good practices.

Template for Data Engineering and Data Pipeline projects
https://github.com/danielbeach/dataEngineeringTemplate
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