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.


Using Tabular Models in a Large-scale Commercial Solution


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


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


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


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

Yearly Customer Historical Sales in DAX

Yearly Historical Sales by Occupation

With DAX you can calculate the sales of the first, second and third year of a new customer without any ETL. In this article you see how to implement this calculation with good performance.