Delivering Business Intelligence with Microsoft Sql Server 2008 (DATABASE & ERP - OMG)

Delivering Business Intelligence with Microsoft Sql Server 2008 (DATABASE & ERP - OMG)

by Brian Larson (Author)

Synopsis

Maximize the Business Intelligence Tools in Microsoft SQL Server 2008

Manage, analyze, and distribute enterprise data with help from this expert resource. Delivering Business Intelligence with Microsoft SQL Server 2008 covers the entire BI lifecycle and explains how to build robust data integration, reporting, and analysis solutions. Real-world examples illustrate all of the powerful BI capabilities of SQL Server 2008. This is your one-stop guide for transforming disparate data into actionable insight for users throughout your organization.

  • Understand the goals and benefits of business intelligence
  • Design and create relational data marts and OLAP cubes
  • Manage Analysis Services databases using BI Development Studio
  • Cleanse data and populate data marts with SQL Server Integration Services
  • Take advantage of the flexibility of the Unified Dimensional Model
  • Manipulate and analyze data using MDX scripts and queries
  • Use data mining to identify data patterns, correlations, and clustering
  • Develop and distribute interactive reports with SQL Server 2008 Reporting Services
  • Integrate business intelligence into enterprise applications using ADOMD.NET and the Report Viewer Control

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More Information

Format: Illustrated
Pages: 792
Edition: 2
Publisher: McGraw-Hill Education
Published: 01 Jan 2009

ISBN 10: 0071549447
ISBN 13: 9780071549448

Author Bio
Brian Larson (Arden Hills, MN) served as a contract member of the Reporting Services development team and contributed to the code base. He has contributed to SQL Server Magazine and is the Chief of Technology for Superior Consulting Services. With over 18 years of experience in the computer industry, and 14 years as a software development consultant, Brian is an MCSD as well as an MCDBA, and has authored and delivered training curriculum for SQL Server 2000 and C#.NET as well as numerous custom applications.