Book Image

SQL Server Analysis Services 2012 Cube Development Cookbook

Book Image

SQL Server Analysis Services 2012 Cube Development Cookbook

Overview of this book

Microsoft SQL Server is a relational database management system. As a database, it is a software product whose primary function is to store and retrieve data as requested by other software applications. SQL Server Analysis Services adds OLAP and data mining capabilities for SQL Server databases. OLAP (online analytical processing) is a technique for analyzing business data for effective business intelligence. This practical guide teaches you how to build business intelligence solutions using Microsoft’s core product – SQL Server Analysis Services. The book covers the traditional multi-dimensional model which has been around for over a decade as well as the tabular model introduced with SQL Server 2012. Starting with comparing MultiDimensional and tabular models – discussing the values and limitations of each, you will then cover the essential techniques for building dimensions and cubes. Following on from this, you will be introduced to more advanced topics, such as designing partitions and aggregations, implementing security, and synchronizing databases for solutions serving many users. The book also covers administrative material, such as database backups, server configuration options, and monitoring and tuning performance. We also provide a primer on MultiDimensional eXpressions (MDX) as well as Data Analysis expressions (DAX) languages. This book provides you with data cube development techniques, and also the ongoing monitoring and tuning for Analysis Services.
Table of Contents (19 chapters)
SQL Server Analysis Services 2012 Cube Development Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Understanding usability limits


A man goes to see his doctor and says, "Doctor, it hurts when I do this," and the doctor says, "Don't do that." Performance tuning can only go so far as to remedy a problem that might simply be a usability issue. Tabular technology can do impressive things with data, but every technology has its practical limits, and the best solution might be to change the approach or to educate users in ways to have a better experience. We will begin with an example to demonstrate this principle.

Getting ready

Using Excel to browse the Tabular Model created in Chapter 10, DAX Calculations and Queries, you will play the role of a business user. Your objective is to first get the total of year-to-date sales daily and then the customers and the products they purchased. We will typically look at the report at the end of each month, so we'll need to filter the data by year and month.

How to do it…

Use the following steps to create a sales report in Excel:

  1. Open Excel 2013 and place...