Tabular


AutoExist and Normalization

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The autoexist feature used by MDX queries sent to an Analysis Services or Power Pivot data models can have different behaviors depending on the normalization level. This article describes these differences and provides best practices to avoid unwanted results.

WHITEPAPER

SSAS Tabular as Analytical Engine

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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.

WHITEPAPER

Using Tabular Models in a Large-scale Commercial Solution

large-scale

Analysis Services Tabular can be used in large-scale solutions and SQLBI already helped several companies in the challenging effort of defining a reliable and scalable architecture, designing the right data model and optimizing the queries. One of these stories is now a case study published as a Microsoft White Paper.


Check Empty Table Condition with DAX

In DAX there are different ways to test whether a table is empty. This test can be used in complex DAX expressions and this short article briefly discuss what are the suggested approaches from a performance perspective.


FILTER vs CALCULATETABLE: optimization using cardinality estimation

A common best practice is to use CALCULATETABLE instead of FILTER for performance reason. This article explore the reasons of that and explain when FILTER might be better than CALCULATETABLE.


Last Process Date in SSAS Tabular

How do you get the last process date for an SSAS Tabular Database? This article shows the techniques you can use and explains how to interpret the information available.


Natural Hierarchies in Power Pivot and Tabular

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Creating a hierarchy in a Power Pivot or Tabular data model is very easy, but you might experience performance issues if the hierarchy is not “natural”. This article explains how to create hierarchies avoiding these problems.


Semi-Additive Measures in DAX

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Values such as inventory and balance account, usually calculated from a snapshot table, require the use of semi-additive measures. In Multidimensional you have specific aggregation types, like LastChild and LastNonEmpty. In PowerPivot and Tabular you use DAX, which is flexible enough to implement any calculation, as described in this article.


USERELATIONSHIP in Calculated Columns

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In a Power Pivot or Tabular model that has inactive relationships, you can use the USERELATIONSHIP function to apply an inactive relationship to a particular DAX expression. Its usage is simple in a measure, but you might consider alternative syntax in a calculated columns, as it is explained in this


Handling Wrong or Missing Dates in Tabular

Missing Year

In the traditional star schema design of a Data Mart, you replace a missing, unknown or wrong date in the fact table with a dummy value in the Date dimension table. In Tabular, handling a Date table requires an existing date and you cannot use a NULL date in a