Understanding SUMMARIZECOLUMNS
This advanced paper explains how SUMMARIZECOLUMNS works internally, providing insight into how to control its behavior in queries and measures following a list of best practices. Read more
This advanced paper explains how SUMMARIZECOLUMNS works internally, providing insight into how to control its behavior in queries and measures following a list of best practices. Read more
This article is about the state of AI tools with Power BI, and how to use the model context protocol (or MCP) to interact with and control Power BI or Fabric with a large language model (or LLM). Read more
Newsletter #300 is a significant milestone for SQLBI: it marks nearly 12 years of sending our updates every two weeks. I thought this was a good time to clarify SQLBI’s position on a topic we haven’t discussed much yet: Artificial… Read more
ALLSELECTED is a powerful, yet dangerous function. This article describes the best practices to follow to avoid falling into the pitfalls involved with ALLSELECTED. Read more
The Related distinct count pattern is useful whenever you have one or more fact tables related to a dimension and you need to perform the distinct count of column values in a dimension table only considering items related to transactions… More on DAX Patterns
Optimizing DAX is the state-of-the-art book on optimizing DAX expressions in Power BI and Analysis Services semantic models.
Learn how to locate performance bottlenecks, read the query plan and performance metrics, rewrite the slower part of an expression, and measure the performance improvements. Read more