The VertiPaq engine is the beating heart of Power BI, but many professionals underestimate the impact their data model has on compression, memory usage, and query performance. In this session, we will take a deep dive into how the VertiPaq engine processes and stores data, and how small but strategic adjustments to your data model can lead to significant performance improvements.

We’ll cover key concepts such as cardinality reduction, encoding strategies, and table relationships that influence the efficiency of the VertiPaq engine. Through a mix of slides and live demonstrations, you’ll see firsthand how minor changes in your model affect compression and query execution.

By the end of this session, you'll have a clear understanding of how to optimize your data model to ensure the VertiPaq engine operates at peak efficiency—improving both performance and scalability in your Power BI reports. Whether you're an analyst, Power BI developer, or data engineer, this session will give you the insights and practical techniques needed to take your models to the next level.