Design & Build A Foundational Data Model In Less Time, With More Structure

Data modeling is a topic both data leaders and individual engineers find tricky.

And for good reason.

There are many moving parts, strange abstract concepts & custom edge cases to consider.

But all of this is also why I believe it's so important to establish a good foundational example to follow.

Rather than doing what most teams do - which is build too fast and act like they are being productive.

When in reality, they are just hurrying up to make a mess.

So in this Skill Session, you'll see how I approach helping teams create foundational data models so they can avoid getting too complex too soon while having a solid pipeline to build on.

What We’ll Cover:

• Why many data pipelines become a mess (so you can evaluate your own)
• A strategy to design & implement a foundational pipeline (so you have more structure & consistency)
• Example Designs (so you know how to do it)

Main Topics:

• Full Architecture Overview (Simple Stack)
• The Power of One Deliverable
• Building A Model With Structure
• Dealing With Changing Data

Duration: 1hr 15 minutes

Bonus Additional Content:

• The 3 Layer Data Model (Overview)
• The Value of A Staging Layer
• Example Tutorial: Create a Star Schema
• Example Tutorial: Using dbt Snapshots

Future Q&A Content: I'll be adding videos in the future addressing common comments/questions from students in the course.

IMPORTANT:

This is not a hands-on project-based type of course. The focus of the material is on strategy and concepts. 

Please do not enroll if you are looking step-by-step SQL tutorials.

ACCESS NOTE: This course is hosted inside my free community called "The Modern Data Community" on Skool.com. 

Upon purchase, you will be automatically invited to join and granted access to this material.