Chapter 18Optimizing VertiPaq
The previous chapter introduced some of the internals of VertiPaq. That knowledge is useful to design and optimize a data model for a faster execution of DAX queries. While the previous chapter was more theoretical, in this chapter we move on to the more practical side. Indeed, this chapter describes the most important guidelines for saving memory and thereby improving the performance of a data model. The main objective in creating an efficient data model is to reduce the cardinality of columns in order to decrease the dictionary size, improve the compression, and speed up any iteration and filter.
The final goal of the chapter is optimizing a model. However, before going there, the first and most important skill ...
Get Definitive Guide to DAX, The: Business intelligence for Microsoft Power BI, SQL Server Analysis Services, and Excel, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
