Delivering Business Intelligence with Microsoft SQL Server by Brian Larson PDF

By Brian Larson

ISBN-10: 0071549447

ISBN-13: 9780071549448

Maximize the enterprise Intelligence instruments in Microsoft SQL Server 2008

Manage, learn, and distribute firm facts with aid from this professional source. Delivering company Intelligence with Microsoft SQL Server 2008 covers the full BI lifecycle and explains how one can construct powerful information integration, reporting, and research suggestions. Real-world examples illustrate the entire strong BI features of SQL Server 2008. this can be your one-stop advisor for reworking disparate facts into actionable perception for clients all through your organization.

  • Understand the pursuits and merits of commercial intelligence
  • Design and create relational facts marts and OLAP cubes
  • Manage research companies databases utilizing BI improvement Studio
  • Cleanse info and populate info marts with SQL Server Integration Services
  • Take good thing about the flexibleness of the Unified Dimensional Model
  • Manipulate and examine facts utilizing MDX scripts and queries
  • Use info mining to spot info styles, correlations, and clustering
  • Develop and distribute interactive reviews with SQL Server 2008 Reporting Services
  • Integrate enterprise intelligence into company purposes utilizing ADOMD.NET and the document Viewer Control

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Additional info for Delivering Business Intelligence with Microsoft SQL Server 2008

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It operates five of its own “Maximum Miniature World” stores dedicated to selling the Max Min product line. com to sell its products online. In addition, Max Min sells wholesale to other retailers. Business Needs Max Min, Inc. has experienced rapid growth in the past three years, with orders increasing by over 300 %. This growth has put a strain on Max Min’s only current source of business intelligence, the printed report. Reports that worked well to support decision making just a few years ago now take an hour or more to print and even C h a p t e r 2 : M a k i n g t h e M o s t o f W h a t Yo u ’ v e G o t longer to digest.

The data mart is a relational database structure specifically designed for storing large amounts of historical data. Data must be copied from the OLTP systems into the data mart. At the end of Chapter 3, we were left with a concern about the data mart. Namely, how do we improve performance when the user wants to view aggregate information derived from a large number of detail records? For the answer to this, we look to online analytical processing. Online Analytical Processing In 1993, E. F. Codd, one of the fathers of relational database and OLTP theory, proposed a different type of system that would be tuned to the needs of data analysts.

For example, if the user wants to see the total sales for the Northeast sales region, that measure has to be calculated by aggregating the total sales for all of the territories within the Northeast sales region. In this case, the aggregation is the sum of the total sales of the territories. The Snowflake Schema An alternative to the star schema is the snowflake schema. The snowflake schema represents hierarchies in a manner that is more familiar to those of us who have been working with relational databases.

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Delivering Business Intelligence with Microsoft SQL Server 2008 by Brian Larson

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