You could use out-of-line bindings for incrementally processing very large dimensions without having to read the full dataset. In this context, the term binding applies to the dimension table or view. The sample database only has a handful of records for each dimension table, but in a realistic scenario you could have a client, customer, or even product dimension with millions of members. On a normal day, you could expect only a small number (compared to the total number) of dimension members to be added. Keep in mind that the ProcessAdd
option reads the entire dataset in order to determine which rows must be added to the SSAS dimension. Running a query against a multimillion row dimension table could add an undue burden to the relational database engine and cause processing to be unnecessarily lengthy. Fortunately, there is a better option: out-of-line bindings.
SQL Server Analysis Services 2012 Cube Development Cookbook
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
Free Chapter
Introduction to Multidimensional Data Model Design
Defining Analysis Services Dimensions
Creating Analysis Services Cubes
Extending and Customizing Cubes
Optimizing Dimension and Cube Processing
MDX
Analysis Services Security
Administering and Monitoring Analysis Services
Using Tabular Models
DAX Calculations and Queries
Performance Tuning and Troubleshooting Tabular Models
Miscellaneous Analysis Services Topics
Index
Customer Reviews