How to Create a 3 Layer Data Model Pipeline
May 01, 2024A data warehouse acts as the main hub for most data teams, yet it often becomes a mess.
While there are many different strategies to handle this, in this video I want to share the approach I follow.
It's based around a simple 3-layered design to take raw source data into meaningful data marts ready for analytics.
The main things we'll cover include:
- A high level pipeline overview (source to analytics)
- A simple example of each layer (staging, warehouse & marts)
- The importance of data modeling, even on modern DBs
Enjoy!
When you're ready, here are 2 other ways I can help you:
1. Simple Stack Academy: Level-up your data career by learning more than just SQL. Design, build & automate an end-to-end data architecture using modern tools like dbt⢠& Github. (Free 7 Day Preview)
2. Consulting Services: Get personalized support to properly implement a well-structured, scalable, and maintainable data architecture at your company.