CloudChaoszero / customer-analytics

This is a quick guide on how to get started and create your data models using dbt (data build tool). dbt is a Python-based packaged for managing Transformations in the ELT (Extract, Load, Transform) lifecyle.

dbt Tutorial: Customer Analytics

Donate

If you would like to support this project, feel free to consider donating to one of the following:

• PyLadies Donation
  • Note: RLadies too, but I think they have enough funding, compared to PyLadies. Your choice, of course. :D
  • Why? With the recent trend gatekeeping and impact on COVID-19 on women, I feel this is top priority.
• Delta Analytics
  • Why? Nonprofit I volunteer for
• Dev/Mission
  • Why? I really care about minorities, Blackx and Latinx groups going into tech.
• NumFocus Donate
  • Why? I <3 the Python community

Introduction

This is the documentation portal for the dbt Tutorial on "Customer Analytics". The project's goal is to provide a seamless and applicable introduction into dbt.

Not that the dbt team does enough of that already!!

• Author: RaulingAverage
• Tutorial: dbtOfCourse
• Code: Github Repository

For an additional working example on dbt modeling and more, check out the dbt blog, documentation, and community.

Enjoy!

dbt Related-Resources:

• Learn more about dbt in the docs
• Check out Discourse for commonly asked questions and answers
• Join the chat on Slack for live discussions and support
• Find dbt events near you
• Check out the blog for the latest news on dbt's development and best practices