Smart Business Intelligence Solutions with Microsoft SQL Server 2008

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Overview

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 ...

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Smart Business Intelligence Solutions with Microsoft SQL Server 2008

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More About This Book

Overview

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
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Product Details

  • ISBN-13: 9780735625808
  • Publisher: Microsoft Press
  • Publication date: 2/4/2009
  • Pages: 800
  • Product dimensions: 7.30 (w) x 9.00 (h) x 2.10 (d)

Meet 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.

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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

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  • Anonymous

    Posted Mon May 07 00:00:00 EDT 2012

    Very informative

    Well written, lots of great information.

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