Category : SSAS Tabular

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Power View for Power Pivot / Tabular Data Models

Power Pivot or SSAS Tabular data model optimization is important for Power View reporting usability and functionality. In this posting, we will discuss the following topics: X-Axis Guidelines Advanced Properties Image Handling Data Categories Table Behavior Field Behavior   X-Axis Guidelines Data type and distribution Utilize a number or date that increases uniformly (primarily for Power BI forecasting but we have

The Most Important DAX Concept

Data Analysis Expressions (DAX) is the native query and formula language for Microsoft Power Pivot data models and SQL Server Analysis Services Tabular models. DAX includes some of the familiar Excel functions that you have frequently utilized in Excel formulas, but also includes additional functions designed to manipulate relational data as needed. Much
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User Friendly Data Models in Power Pivot & Tabular

Organization and user friendly data model development in Power Pivot & Tabular environments take precedence over almost all other concerns. We will discuss best practices of creating a data dictionary, naming rules, etc. of Power Pivot & Tabular data models in other, related postings.   In this posting, we will discuss some options of organizing the

Normalization vs. Denormalization

Normalization vs. Denormalization best practices for Power Pivot / Tabular data modeling is typically not disputed.   First, let's quickly define in human terms what we are referencing when we speak of normalization vs. denormalization. Normalization is reducing data duplication by splitting dimensional data and attributes into their dimension tables.  Typically,

Data Model Best Practices

We will start off discussing the data model itself.   The data model that is created in Power Pivot or a Tabular solution is the foundation of any Microsoft business intelligence solution. The data model consists of the data structure (including tables and their relationships, columns in the tables, and all measures