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1 Beaverton Database- SQL

Smart Business Intelligence Solutions with Microsoft(r) SQL Server(r) 2008

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Smart Business Intelligence Solutions with Microsoft(r) SQL Server(r) 2008 Cover

 

Synopses & Reviews

Publisher Comments:

Get the end-to-end instruction you need to design, develop, and deploy more effective data integration, reporting, and analysis solutions using SQL Server 2008—whether you’re new to business intelligence (BI) programming or a seasoned pro. With real-world examples and insights from an expert team, you’ll master the concepts, tools, and techniques for building solutions that deliver intelligence—and business value—exactly where users want it.

Discover how to:

  • Manage the development life cycle and build a BI team
  • Dig into SQL Server Analysis Services, Integration Services, and Reporting Services
  • Navigate the Business Intelligence Development Studio (BIDS)
  • Write queries that rank, sort, and drill down on sales data
  • Develop extract, transform, and load (ETL) solutions
  • Add a source code control system
  • Help secure packages for deployment via encryption and credentials
  • Use MDX and DMX Query Designers to build reports based on OLAP cubes and data mining models
  • Create and implement custom objects using .NET code
  • View reports in Microsoft Office Excel and Office SharePoint Serverook
  • Book News Annotation:

    Written for programmers with production experience with a relational database, this guide builds theoretical and practical knowledge for designing, developing, and deploying a data warehousing, or business intelligence (BI), project using SQL Server 2008. A unique feature of the guide is its emphasis on data mining, with three chapters dedicated to implementation of data mining. The book begins by developing an intuitive understanding of BI as implemented using SQL Server 2008, and then moves to a more formal understanding of concepts, architecture, and modeling, with discussion of the implementation of BI objects, such as OLAP cubes and data mining structures, using tools included in SQL Server 2008. Tasks are illustrated with b&w screenshots. The audience for the book includes professional developers working on BI projects using SSAS, SSIS, and SSRS. There is also basic information of interest to BI administrators. Langit is a developer evangelist for the Microsoft MSDN team. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)

    About the Author

    Lynn Langit is a developer evangelist for the Microsoft MSDN® team. Prior to working at Microsoft, she founded and served as lead architect of a development firm that created BI solutions. She holds a number of Microsoft certifications, including MCITP, MCSD, MCDBA, and MCT.

    Kevin S. Goff is a Microsoft MVP and a trainer and BI practice lead for a Microsoft Gold Certified Partner.

    Davide Mauri, MCP, MCAD, MCDBA, MCT, is a Microsoft MVP who has worked with SQL Server since version 6.5.

    Sahil Malik is a consultant and trainer who has been a Microsoft MVP and an INETA speaker for many years.

    John Welch is a Microsoft MVP and the chief architect at a consulting firm specializing in BI solutions.

    Table of Contents

    • Foreword
    • Acknowledgments
    • Introduction
    • Part I: Business Intelligence for Business Decision Makers and Architects
      • Chapter 1: Business Intelligence Basics
      • Chapter 2: Visualizing Business Intelligence Results
      • Chapter 3: Building Effective Business Intelligence Processes
      • Chapter 4: Physical Architecture in Business Intelligence Solutions
      • Chapter 5: Logical OLAP Design Concepts for Architects
    • Part II: Microsoft SQL Server 2008 Analysis Services for Developers
      • Chapter 6: Understanding SSAS in SSMS and SQL Server Profiler
      • Chapter 7: Designing OLAP Cubes Using BIDS
      • Chapter 8: Refining Cubes and Dimensions
      • Chapter 9: Processing Cubes and Dimensions
      • Chapter 10: Introduction to MDX
      • Chapter 11: Advanced MDX
      • Chapter 12: Understanding Data Mining Structures
      • Chapter 13: Implementing Data Mining Structures
    • Part III: Microsoft SQL Server 2008 Integration Services for Developers
      • Chapter 14: Architectural Components of Microsoft SQL Server 2008 Integration Services
      • Chapter 15: Creating Microsoft SQL Server 2008 Integration Services Packages with Business Intelligence Development Studio
      • Chapter 16: Advanced Features in Microsoft SQL Server 2008 Integration Services
      • Chapter 17: Microsoft SQL Server 2008 Integration Services Packages in Business Intelligence Solutions
      • Chapter 18: Deploying and Managing Solutions in Microsoft SQL Server 2008 Integration Services
      • Chapter 19: Extending and Integrating SQL Server 2008 Integration Services
    • Part IV: Microsoft SQL Server Reporting Services and Other Client Interfaces for Business Intelligence
      • Chapter 20: Creating Reports in SQL Server 2008 Reporting Services
      • Chapter 21: Building Reports for SQL Server 2008 Reporting Services
      • Chapter 22: Advanced SQL Server 2008 Reporting Services
      • Chapter 23: Using Microsoft Excel 2007 as an OLAP Cube Client
      • Chapter 24: Microsoft Office 2007 as a Data Mining Client
      • Chapter 25: SQL Server Business Intelligence and Microsoft Office SharePoint Server 2007
    • About the Authors

    Product Details

    ISBN:
    9780735625808
    Author:
    Langit, Lynn
    Publisher:
    Microsoft Press
    Author:
    Mauri, Davide
    Author:
    Welch, John C.
    Author:
    Welch, John
    Author:
    Goff, Kevin S.
    Author:
    Malik, Sahil
    Subject:
    General
    Subject:
    Database Management - SQL Server
    Subject:
    Database Management - General
    Subject:
    Database-SQL
    Subject:
    Database design
    Copyright:
    Edition Description:
    Trade Paper
    Series:
    Developer Reference
    Publication Date:
    20090204
    Binding:
    Paperback
    Language:
    English
    Pages:
    800
    Dimensions:
    9 x 7.5 x 2 in 3.32 lb

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