#063: How to Create a 3 Layer Data Model Pipeline

May 01, 2024

A 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: 

  1. A high level pipeline overview (source to analytics)
  2. A simple example of each layer (staging, warehouse & marts)
  3. The importance of data modeling, even on modern DBs

 

Enjoy!

The Starter Guide for Modern Data

Build Modern Data Architectures With More Structure, Faster.

Show more impact with modern tools like dbt, Snowflake & GitHub by following a simple foundational design.

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