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

Implementing cell-level security


Restricting access to specific dimension members is normally sufficient even for very granular security schemes. However, in rare cases, you might have a need to secure individual cells in addition to specifying allowed and denied dimension member sets. Although I discuss cell-level security here, be warned that securing at the cell level can cause severe performance issues, particularly, for large cube implementations.

You can grant read-only, read-write, and read-contingent permissions at cell level. Read-write permissions only apply if the cube write-back is enabled. Read-contingent permissions define SSAS behavior for cells that are defined from other cells that are known as calculated members. If you grant read-contingent permission on a calculated member, you must ensure that the same role also has access to the members included in the calculated member's definition.

In addition to imposing performance overhead, cell-level security also introduces an...