Foundations of SQL Server 2008 R2 Business Intelligence [electronic resource] /
Fouche, Guy.author.
Langit, Lynn.author.
Foundations of SQL Server 2008 R2 Business Intelligence introduces the entire exciting gamut of business intelligence tools included with SQL Server 2008. Microsoft has designed SQL Server 2008 to be more than just a database. It’s a complete business intelligence (BI) platform. The database is at its core, and surrounding the core are tools for data mining, modeling, reporting, analyzing, charting, and integration with other enterprise-level software packages. SQL Server 2008 puts an incredible amount of BI functionality at your disposal. But how do you take advantage of it? That’s what this book is all about. Authors Guy Fouché and Lynn Langit show how to implement end-to-end BI solutions using SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and other tools in the Microsoft business intelligence toolkit. You’ll learn about all-features such as PowerPivot and Report Builder 3.0. Also provided are clear examples of predictive analysis made possible through powerful data mining features in SQL Server. If you’re an analyst or developer working with SQL Server 2008 who is charged with delivering results that drive business success, you can’t afford to be without this book; you can’t afford to ignore the powerful business intelligence suite that Microsoft has placed at your disposal. Provides the "big picture" of Microsoft’s BI tool suite Covers PowerPivot and other game-changing technologies introduced alongside SQL Server 2008 Release 2 Gives a practical analysis of features based on real-world practices.
Title Page; Copyright Page; Contents at a Glance; Table of Contents; About the Authors; About the Technical Reviewer; Acknowledgments; Chapter 1: What Is Business Intelligence?; Just What Is Business Intelligence?; Defining BI Using Microsoft's Tools; What Microsoft Products Are Involved?; BI Languages; Understanding BI from an End User's Perspective; Building the First Sample-Using AdventureWorks; Deploying the Standard Edition Version of the Sample Cube; How to Connect to the Sample Cube Using Excel; Understanding BI Through the Sample; Understanding the Business Problems That BI Addresses
Reasons to Switch to Microsoft's BI ToolsSummary; Chapter 2: OLAP Modeling Concepts; Modeling OLAP Source Schemas-Stars; Understanding the Star Schema; Understanding a Dimension Table; Attributes; Why Create Star Schemas?; Effectively Creating Star Schema Models Using Grain Statements; Tools for Creating Your OLAP Model; Modeling Source Schemas-Snowflakes and Other Variations; Understanding the Snowflake Schema; Knowing When to Use Snowflakes; Considering Other Possible Variations; Choosing Whether to Use Views Against the Relational Data Sources; Understanding Unified Dimensional Modeling
Using the UDMThe Slowly Changing Dimension (SCD); Type 1, 2, 3 SCD Solutions; The Rapidly Changing Dimension (RCD); Writeback Dimension; Understanding Fact (Measure) Modeling; An Example; Calculated Measure vs. Derived Measure; Other Types of Modeling; Data Mining; Key Performance Indicators; Actions, Perspectives, Translations; Source Control and Other Documentation Standards; Summary; Chapter 3: Introducing OLAP Modeling with SSAS; Using BIDS to Build a Cube; Defining Your First Cube; Adding Dimension Attributes; Defining Hierarchies; Building Your First Cube; Refining Your Cube
Reviewing MeasuresReviewing Dimensions: Attributes; Reviewing Dimensions: Hierarchies; Creating Attribute Relationships; Other Parts of the Dimension Structure Tab; Dimension Properties; Offline vs. Online Mode in BIDS; Other Types of Modeling; Summary; Chapter 4: Intermediate OLAP Modeling with SSAS; Adding Key Performance Indicators (KPls); Implementing KPls in SSAS; Implementing KPls in SSMS; Using Perspectives and Translations; Perspectives; Translations; Localizing Measure Values; Using Actions; Creating Actions in SSAS; Creating Actions in SSMS; Summary
Chapter 5: Advanced OLAP Modeling with SSASMultiple Fact Tables in a Single Cube; Nulls; Nonstar Dimensions; Snowflake Dimensions; Degenerate Dimensions; Parent-Child Dimensions; Many-to-Many Dimensions; Role-Playing Dimensions; Writeback Dimensions; Dimensions That Change; Error Handling for Dimension Attribute Loads; Using the Business Intelligence Wizard; Summary; Chapter 6: Cube Storage and Aggregation; Using the Default Storage: MOLAP; XML for Analysis; Aggregations; MOLAP as Default in SSAS; Adding Aggregations; The Aggregation Design Wizard; The Usage-Based Optimization Wizard
The SQl Server Profiler asan Aggregation Design Aid
Includes index.
Foundations of SQL Server 2008 R2 Business Intelligence introduces the entire exciting gamut of business intelligence tools included with SQL Server 2008. Microsoft has designed SQL Server 2008 to be more than just a database. It’s a complete business intelligence (BI) platform. The database is at its core, and surrounding the core are tools for data mining, modeling, reporting, analyzing, charting, and integration with other enterprise-level software packages. SQL Server 2008 puts an incredible amount of BI functionality at your disposal. But how do you take advantage of it? That’s what this book is all about. Authors Guy Fouché and Lynn Langit show how to implement end-to-end BI solutions using SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and other tools in the Microsoft business intelligence toolkit. You’ll learn about all-features such as PowerPivot and Report Builder 3.0. Also provided are clear examples of predictive analysis made possible through powerful data mining features in SQL Server. If you’re an analyst or developer working with SQL Server 2008 who is charged with delivering results that drive business success, you can’t afford to be without this book; you can’t afford to ignore the powerful business intelligence suite that Microsoft has placed at your disposal. Provides the "big picture" of Microsoft’s BI tool suite Covers PowerPivot and other game-changing technologies introduced alongside SQL Server 2008 Release 2 Gives a practical analysis of features based on real-world practices.
SQL server.
Database management.
Data structures (Computer science).
Data mining.
Database Management.
Data Structures and Information Theory.
Data Mining and Knowledge Discovery.