April 25 @ 15:00 - 18:00
Description of session
You have heard that a star schemas are optimal for Power BI. You have seen the dramatic effect of compression on your data models. And the storage engine makes parallelism happen? Or something like that!
Have you ever wondered why these things are true and how they work? Or how you can use this knowledge to make models that perform better?
This session will deep dive into the Vertipaq storage engine, compression, and query execution. Then, we will build upon this understanding to optimize models to work well with Vertipaq. You will learn *why* certain patterns of models are optimizations, not just what those patterns are.
Coming out of this session, you will understand Vertipaq at a deeper level and be able to identify memory and performance optimizations for your models.
He slices! He dices! When it comes to Power BI, Greg Baldini does it all, and he is here to show you how to, too!
Cofounder of Argus PBI, Greg has a decade of experience with DAX, Tabular, and the Power BI family of tools. His career has been spent in solving hard problems for clients and seeking deep understanding of the fundamentals of data analysis.