Optimizing DAX expressions involving multiple measures

Measures summed

Writing measures referencing other measures is in general a good idea that simplifies the DAX code, but you might face specific bottlenecks. This article describes which performance issues might arise when different measures aggregate the same column using different filter arguments, and how to improve efficiency of your DAX code.


Optimize Hardware Settings for Analysis Services Tabular


Hardware and virtualization settings have a big impact on Analysis Services Tabular performance. This article describes best practices for the most important settings to check.


Costs of Relationships in DAX


The relationships in a data model queried by DAX are a fundamental part of the engine and simplify the query itself. This article examines the cost of relationships in a data model, providing hints to optimize them.


Scalable BI and Advanced Modeling with Analysis Services and Power Pivot


In this session, you will learn how to define a scalable data model in Power Pivot or Analysis Services, handling a growing volume of data and requests. You will see how to optimize memory usage and performance, how to use relationships in the data model, how to solve common design


Data Model Size with VertiPaq Analyzer

DMV Size 01

Analyzing table and column size is an important step in optimizing a data model for Power Pivot, Power BI, or Analysis Services Tabular. This article describes VertiPaq Analyzer, an Excel workbook to analyze detailed information extracted from Dynamic Management Views.


VertiPaq Analyzer

VertiPaq Analyzer is useful to analyze VertiPaq storage structures for a data model in Analysis Services Tabular. A complete description and short tutorial is available in the article Data Model Size with VertiPaq Analyzer.


Choose the Right Hardware for Analysis Services Tabular

Choosing the right hardware is critical for a solution based on Analysis Services Tabular. Spending more does not always mean having a better machine. This short article describes how to choose the right server and, as you will see, the perfect Tabular server is not expensive.


Heap Memory Settings for Analysis Services Tabular 2012 / 2014


The default memory settings for Analysis Services Tabular might be less than optimal. This article describes why this might happen, and guides you choosing the right configuration.


SSAS Tabular as Analytical Engine


This article describes pros and cons of using SQL Server Analysis Services Tabular as the analytical engine in a service or application, based on the experience of companies who have adopted it.


DIVIDE Performance

DIVIDE Performance 01

The DIVIDE function in DAX is usually faster to avoid division-by-zero errors than the simple division operator. However, there are exceptions to this rule, described in this article through a simple performance analysis.