5 Data Modelling Fundamentals

In this post, let’s understand the 5 important Data modeling fundamentals. They are the most important which one should focus as a beginner. If these are not understood enough, I repeat, it is important to get the basics right.

  1. Data and lookup tables & Primary and foreign keys
  2. Relantionship Cardinality
  3. Filter Flow
  4. Evaluation Context
  5. Common DAX functions
Data Modelling Techniques

So those five topics really envelop the data modeling fundamental section and when to use each of those. And lastly, we’ll wrap up with the valuation context.

Evaluation context is probably one of the most important pieces index, and it’s a critical piece to understand before you move on.

Common DAX functions

I will updating the back links in this post, as and when I learn the fundamentals. Stay tuned.

Hope you found the post informative. Your valuable feedback, question, or comments about this post are always welcome by leaving me message on  contact form is truly appreciated.


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Published by Lashmi Bai Ravindrapandian

V Shaped Functional PMO Professional | Helping Org to execute their Programs | Learning Evangelist | Strategic & Digital Mindset | Agilist | Manager at Mind & Leader at Heart