Tabular

ARTICLE

Introducing SUMMARIZECOLUMNS

This article explains how to use SUMMARIZECOLUMNS, which is a replacement of SUMMARIZE and does not require the use of ADDCOLUMNS to obtain good performance.

TOOL

SSAS Events Analyzer

SSAS Events Analyzer is a simple monitoring system that can be easily applied to any SSAS server with a minimal effort.

TOOL

SSAS Activity Monitor

SSAS Activity Monitor is an open source tool to monitor the current activity (sessions, transactions, connections, and locks) on an Analysis Services instance. It works for both Tabular and Multidimensional mode.

ARTICLE

Compare equivalent periods in DAX

If you do not have a full month with data, comparisons such as year-over-year (YOY) might require particular filters in order to do a like for like comparison in DAX. This article describes how to write DAX expressions comparing equivalent periods, keeping corresponding number of days in the comparison.

VIDEO

VertiPaq Analyzer 1.7

VertiPaq Analyzer is useful to analyze VertiPaq storage structures for a data model in Analysis Services Tabular. Learn how to connect VertiPaq Analyzer to Power BI and to SSAS Tabular, and see quick overview of the features available. Then, download and use VertiPaq Analyzer: it’s free!

ARTICLE

Using Process Add in tabular models

This article describes how to implement incremental updates to an Analysis Services database in Tabular mode with compatibility version 1200 or higher.

ARTICLE

Implement Non Visual Totals with Power BI security roles

This article describes how to implement non-visual-totals with security roles in Power BI and Analysis Services Tabular, which by default show only visual totals of measures in the model.

ARTICLE

Using DAX Editor

This article describes how to improve the productivity when you editing DAX measures in a SSAS Tabular model by using the DAX Editor for Visual Studio.

VIDEO

DAX Editor – Introduction

Learn how to install and use DAX Editor for Visual Studio

ARTICLE

Analyzing events with a duration in DAX

This article analyzes how to efficiently work with events that lasts over time, such as the duration of an order considering the distance between order date and ship date.