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...
View ArticleParameters in DAX Measures
DAX is a functional language that does not allow you to create functions. However, if you need to pass a parameter to an algorithm, you can use a measure passing a value through a filter argument in...
View ArticleData Model Size with VertiPaq Analyzer
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...
View ArticleCosts 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...
View ArticleCalculated Columns and Measures in DAX
One of the first concepts to learn in DAX is the difference between calculated columns and measures. This article shortly recap the differences and describes when to use each one. Calculated columns...
View ArticleTransition Matrix Using Calculated Tables
In the 2015 September update, Power BI introduced calculated tables, which are computed using DAX expressions instead of being loaded from a data source. This article shows the usage of calculated...
View ArticleOptimize 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. Power Settings The first...
View ArticleVertiPaq 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...
View ArticleScalable 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...
View ArticleAdvanced Modeling with Analysis Services Tabular
This session goes beyond the classical star schema modeling, exploring new techniques to model data with Power Pivot and SSAS Tabular. You will see how brute-force power in DAX allows different data...
View ArticleAdvanced Modeling with Analysis Services Tabular
This session goes beyond the classical star schema modeling, exploring new techniques to model data with Power Pivot and SSAS Tabular. You will see how brute-force power in DAX allows different data...
View ArticleSSAS Tabular from the Trenches
Microsoft released its new Tabular model of Analysis Services almost three years ago. Even if it is relatively new for many developers, we already used it in several production scenarios. In this...
View ArticleBLANK Handling in DAX
The blank value in DAX is a special value requiring particular attention in comparisons. It is not like the special null value in SQL, and it could appear in any conversion from a table expression....
View ArticleCreate Static Tables in DAX Using the DATATABLE Function
You can create static tables in DAX using the DATATABLE function. This article describes the syntax of this new feature and shows when and how to use it. Static Tables in Data Models A static table has...
View ArticleNested grouping using GROUPBY vs SUMMARIZE
DAX introduced a GROUPBY function that should replace SUMMARIZE in some scenarios. This article describes how to use GROUPBY in nested grouping scenarios and other improvements. Limitations of...
View ArticleData Import Best Practices in Power BI
When you create a data model in Power BI, you should consider how to properly use naming convention and what columns to include, in order to improve usability and performance. This article provides a...
View ArticleChoosing Numeric Data Types in DAX
A data model for DAX has three numeric data types: integer, floating point, and fixed decimal number. This article describes them and explains why the fixed decimal number should be used instead of the...
View ArticleMany-to-many relationships in Power BI and Excel 2016
The new DAX available in Excel 2016 and the data model in Power BI and Analysis Services 2016 offer tools to manage many-to-many relationships in a more efficient way than previous version, as...
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