Building Integrated Business Intelligence Solutions with SQL Server 2008 R2 & Office 2010

Ficha

Autor:
Philo Janus Stacia Misner
Editorial:
McGraw-Hill Digital
ISBN:
0000071716734
Fecha de Publicación:
2011
Formato:
EPUB
epub
Adobe Drm
Impresión no pemitida
Copiar/Pegar no permitido
Nº de dispositivos permitidos ilimitado
€44,06

Create integrated business intelligence solutions using the newest releases of the Microsoft BI stack

Building Integrated Business Intelligence Solutions with SQL Server 2008 R2 & Office 2010 explains how to use the entire Microsoft BI stack--SQL Server 2008 R2, SharePoint 2010, and Office 2010 components, including Excel/Gemini--to create integrated, practical, business intelligence solutions. An overview of SQL Server Analysis Services sets the stage for broad coverage of Excel as a front end for "self-service analysis," using SharePoint features for collaboration and workgroup BI, and leveraging Reporting Services for enterprise dashboards and reports. This practical guide focuses on building end-to-end BI solutions that solve real business data dilemmas.

Building Integrated Business Intelligence Solutions with SQL Server 2008 R2+N37 & Office 2010 features:

  • Authoritative content written by a senior technology specialist at Microsoft who has presented to thousands of users and developers on Microsoft's BI technologies
  • A foreword by Thierry D'Hers, Business Intelligence Group Program Manager at Microsoft
  • Real-world exercises that enable you to build practical solutions for your own business problems
  • Detailed illustrations depicting sophisticated reporting results
  • Tips on visually representing data, creating KPI's, and business metrics

Complete coverage of Microsoft business intelligence solutions:
What Is Business Intelligence?; Collaboration Meets Business Intelligence; Excel & Excel Services; Analysis Services & Cubes; Introducing PowerPivot; Getting Data In; Reporting Services; SharePoint; Charts & Graphs; Mapping; Data Mining; Scorecards & Dashboards; Master Data Services; Publishing and Administration