In this tutorial, we’re going to take a look at the second engine inside analysis services — the storage engine. We discussed the top-level engine, the formula engine, in a past tutorial. When users understand how both these engines work, it’s easier to optimize and improve the performance of your DAX queries. The storage engine’s
This tutorial will talk about optimizing your queries in DAX Studio. You’ll also learn how to mitigate the presence of the CallBackDataID if ever they appear in your calculations. This will help improve DAX’s performance in generating accurate data. If you recall from previous blog posts, CallBackDataID appears when the storage engine asks help from
This tutorial will discuss context transition and nested Iterators. You’ll learn the importance of these entities and how they can be a good source for optimization. If you recall, context transition happens when a row context changes into an equivalent filter context. You need to be aware of what’s happening when a context transition occurs
This tutorial will discuss about variables, including the FILTER and CALCULATE functions. You’ll understand how these help boost the performance of your DAX queries and provide accurate results. Variables should be used as much as possible because they can easily locate codes for optimization. They prevent you from getting incorrect outputs and save you time
This tutorial will discuss about DAX query optimization practices. You’ll learn what VertiPaq can do with caches to improve DAX performance and generate accurate results. VertiPaq Caches In DAX Calculations The first topic is the VertiPaq Cache. Before you run your queries, you have to clear the cache first because other users may not use
