Peter van den Bos

Incremental refresh is essential when Power BI data models grow beyond simple full refreshes. In this session, we’ll look at how incremental refresh works in Power BI, how to set it up correctly, and how to avoid common pitfalls. The focus is on practical guidance, testing strategies, and building a refresh process that remains predictable and performant as data volumes increase.

Learn how to build and manage Power BI semantic models using code with Semantic Link. This hands-on session shows how to load data, explore models, and create measures, tables, and relationships programmatically using notebooks.

Learn how a well-designed data model can significantly improve Power BI performance and simplify DAX. This session explains the key modeling principles that help you build faster, more efficient, and easier-to-maintain reports.

This session explores practical data modeling techniques in Power BI beyond the classic star schema. You’ll learn how to make informed design choices for fact tables, work with snapshot data and SCD Type 2 dimensions, and handle many-to-many relationships using real-world scenarios rather than idealized examples.

VertiPaq is the engine behind Power BI performance, but its behavior is strongly influenced by data model design. This session explains how VertiPaq stores and processes data, and shows how targeted modeling choices can significantly improve compression, memory usage, and query performance.