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

Managing partitions


Partitions in Analysis Services enable you to break up your data into manageable parts. Typically, you use them when you want to limit the amount of data you need to process in the model when the data is updated. Using our crash data table, we will add a new partition to the one that includes only crash data from January 1, 2015 onwards. Partitions are commonly created to break up large datasets based on common properties such as dates, regions, or stores. When you create a partition, only the data that matches the condition in the SQL statement will be inserted into each partition. In this recipe, you will create a new partition to move the crashes that occurred after 1/1/2012 to a new partition. Then you will edit the partition to limit the data to crashes that occurred prior to 1/1/2015.

How to do it...

Creating a Partition

  1. Open Crash_Data_Solution in Visual Studio.

  2. Select the Table menu and then Partitions... to bring up the Partition Manager window.

  3. Select New to create...