By Brian Larson
Maximize the company Intelligence instruments in Microsoft SQL Server 2008
Manage, examine, and distribute company information with aid from this professional source. Delivering enterprise Intelligence with Microsoft SQL Server 2008 covers the complete BI lifecycle and explains the way to construct powerful facts integration, reporting, and research suggestions. Real-world examples illustrate the entire robust BI features of SQL Server 2008. this can be your one-stop advisor for reworking disparate information into actionable perception for clients all through your organization.
Understand the targets and merits of commercial intelligence
- Design and create relational info marts and OLAP cubes
- Manage research prone databases utilizing BI improvement Studio
- Cleanse info and populate facts marts with SQL Server Integration Services
Take good thing about the pliability of the Unified Dimensional Model
- Manipulate and research info utilizing MDX scripts and queries
- Use facts mining to spot facts styles, correlations, and clustering
- Develop and distribute interactive reviews with SQL Server 2008 Reporting Services
- Integrate company intelligence into firm functions utilizing ADOMD.NET and the document Viewer Control
Read or Download Delivering Business Intelligence with Microsoft SQL Server 2008 PDF
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Additional resources for Delivering Business Intelligence with Microsoft SQL Server 2008
The data may be saved for a year, and then a year-end process may remove it from the database. It may be archived in another format, a text file or a database backup file, or it might simply be deleted. Whether deleted or archived, the data is no longer easily accessible. OLTP systems use this archive process to ensure that the system continues to operate efficiently. If a transaction table contains too many records, the OLTP system can become bogged down and begin to operate slowly. Archiving allows an OLTP system to stay lean and mean.
This includes the purchase of raw materials for manufacturing. The accounting system uses a SQL Server database for its backend. Building the Foundation In Chapter 3, you will learn more about the foundations of our business intelligence systems. We explore possible sources for our business intelligence data. We also look at what the structure of those data sources might look like. 23 This page intentionally left blank Chapter 3 Seeking the Source— The Source of Business Intelligence In This Chapter c Seeking the Source c The Data Mart c Snowflakes, Stars, and Analysis Services 26 Delivering Business Intelligence with Microsoft SQL Server 2008 Planning ahead is a good idea.
C h a p t e r 4 : O n e - S t o p S h o p p i n g — T h e U n i f i e d D i m e n s i o n a l M o d e l Building OLAP—Out of Cubes An OLAP system is designed to provide its users with quick and easy access to business data. That data is usually stored in a data mart. The OLAP system simply provides a mechanism for viewing and analyzing the data mart information quickly. Within the OLAP system, the business data takes the form of measures, dimensions, hierarchies, and cubes. In fact, OLAP systems focus on cubes.