Data Modeling is arguably the most impactful decision for a data team.
It determines your architecture and the path that the whole team will follow.
While this is not a new topic, the new tools and tech over the last decade has caused many to reconsider what's best in a modern landscape.
So in today's video I want to break down this topic.
We'll discuss:
1. Why is Data Modeling (still) important?
2. What are the common approaches?
3. What things should you consider?
►► The Starter Guide for Modern Data → bit.ly/starter-mds
Simplify “modern” architectures + better understand common tools & components
Timestamps:
0:00 - Intro
0:44 - Why is Data Modeling Important?
2:33 - Common Approaches
7:39 - Things to Consider
Title & Tags:
Data Modeling in the Modern Data Stack
#kahandatasolutions #dataengineering #datamodeling
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