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

Managing dimension hierarchy-level security


So far so good; you've allowed cube-level access to users, but this might only be a part of the battle. Cube-level access does not restrict any dimensions or attributes. This means that each employee could see not only those sales that he/she is directly responsible for, but also the sales of his/her peers and managers. Furthermore, not all employees need to see highly sensitive data such as salaries and commission rates.

You can manage access to dimensions using the Dimension Data tab within the Role Properties dialog. The same dialog also has the Dimensions tab that is used less frequently and allows you to specify write access if the dimension write-back is configured; otherwise, all dimensions are available for read-only access. The Dimension Data tab, on the other hand, is for securing individual dimension attribute hierarchy members.

You will begin by implementing a simple requirement of only allowing the role to see bikes and accessories product...