Book Image

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

By : Derek Wilson
Book Image

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

By: Derek Wilson

Overview of this book

SQL Server Analysis Service (SSAS) has been widely used across multiple businesses to build smart online analytical reporting solutions. It includes two different types of modeling for analysis services: Tabular and Multi Dimensional. This book covers Tabular modeling, which uses tables and relationships with a fast in-memory engine to provide state of the art compression algorithms and query performance. The book begins by quickly taking you through the concepts required to model tabular data and set up the necessary tools and services. As you learn to create tabular models using tools such as Excel and Power View, you’ll be shown various strategies to deploy your model on the server and choose a query mode (In-memory or DirectQuery) that best suits your reporting needs. You’ll also learn how to implement key and newly introduced DAX functions to create calculated columns and measures for your model data. Last but not least, you’ll be shown techniques that will help you administer and secure your BI implementation along with some widely used tips and tricks to optimize your reporting solution. By the end of this book, you’ll have gained hands-on experience with the powerful new features that have been added to Tabular models in SSAS 2016 and you’ll be able to improve user satisfaction with faster reports and analytical queries.
Table of Contents (18 chapters)
Tabular Modeling with SQL Server 2016 Analysis Services Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Using the RELATED function


The RELATED function leverages the relationships built in the model Diagram view. In this model, there is a one to many relationship between the LIGHT_T table and the CRASH_DATA_T table. The RELATED function is applied on the many table (CRASH_DATA_T) and performs a lookup on the one table (LIGHT_T).

This recipe uses the RELATED function to create a new calculated column. This column will add the label from the LIGHT_T table to the CRASH_DATA_T table. This can be helpful when you have a frequently used column and your users do not need to select from the associated table each time they access the data. The RELATED function has a required syntax of RELATED(<column>).

How to do it...

  1. Open the Chapter_9_DAX solution and select the CRASH_DATA_T table and make sure you are in the data Grid view.

  2. Scroll to the right until you find the Add Column. Then in the expression box, add the formula to return the label from the LIGHT_T table. You will then see the corresponding...