Foundations of SQL Server 2005 Business Intelligence – Lynn Langit – 1st Edition


Just as every business needs to effectively employ business intelligence (BI) to stay competitive; every IT professional needs to master BI to stay employed in this fastest-growing segment of information technology. of SQL Server 2005 is the quickest path to understanding BI; and it is essential reading for all who work with SQL Server 2005. It is written from a practical perspective; perfect for anyone who uses the in SQL Server 2005s extraordinarily rich BI product suite.
This book explains how best to use Analysis Services; SQL Server Integration Services; SQL Server Reporting Services; and SQL Server Data Mining. It also describes best practices for implementing end-to-end BI solutions in small; medium; and large business environments. And it provides important information about integrating BI with various client tools; including Excel; Business Scorecards; Proclarity; and SharePoint Portal Server. Developers; end users; and even managers will find this an enlightening guide to the and promise of SQL Server 2005 BI.

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  • About the Technical Reviewer

    1. What Is Business Intelligence?
    Just What Is BI?
    Defining BI Using Microsoft's Tools
    What Microsoft Products Are Involved?
    BI Languages
    Understanding BI from an End User's Perspective
    Demonstrating the Power of BI Using Excel 2003 Pivot Tables
    Understanding BI Through the Sample
    Understanding the Business Problems that BI Addresses
    Reasons to Switch to Microsoft's BI Tools

    2. OLAP Modeling
    Modeling OLAP Source SchemasStars
    Understanding the Star Schema
    Understanding a Dimension Table
    Why Create Star Schemas?
    Effectively Creating Star Schema Models Using Grain Statements
    Tools for Creating Your OLAP Model
    Modeling Source SchemasSnowflakes 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 Dimensional Modeling (UDM)
    Using the UDM
    The Slowly Changing Dimension (SCD)
    The Rapidly Changing Dimension (RCD)
    Writeback Dimension
    Understanding Fact (Measure) Modeling
    Calculated Measure vs. Derived Measure
    Other Types of Modeling
    Data Mining
    KPIs (Key Performance Indicators)
    Actions, Perspectives, Translations
    Source Control and Other Documentation Standards

    3. Introducing SSIS
    Understanding ETL
    Data Maps
    Staging Servers
    ETL Tools for BI/SSIS Packages
    Basic SSIS Packages Using BIDS
    Developing SSIS Packages
    Designing SSIS Packages
    Adding Transformations to the Data Flow

    4. Using SSAS
    Using BIDS to Build a Cube
    Building Your First Cube
    Refining Your Cube
    Reviewing Measures
    Reviewing Dimensions: Attributes
    Reviewing Dimensions: Hierarchies
    Reviewing Dimensions: Member Properties

    5. Intermediate OLAP Modeling
    Adding Key Performance Indicators (KPIs)
    Implementing KPIs in SSAS
    Considering Other KPI Issues
    Using Perspectives and Translations
    Localizing Measure Values
    Using Actions
    Other Types of Modeling

    6. Advanced OLAP Modeling
    Multiple Fact Tables in a Single Cube
    Considering Nulls
    Modeling Nonstar Dimensions
    Snowflake Dimensions
    Degenerate Dimensions
    Parent-Child Dimensions
    Many-to-Many Dimensions
    Role-Playing Dimensions
    Writeback Dimensions
    Modeling Changing Dimensions and More
    Error Handling for Dimension Attribute Loads
    Using the Business Intelligence Wizard
    What's Next?

    7. Cube Storage and Aggregation
    Using the Default Storage: MOLAP
    XMLA (XML for Analysis)
    MOLAP as Default in SSAS
    Adding Aggregations
    Advanced Storage: MOLAP, HOLAP, or ROLAP
    Considering Other Types of Storage
    ROLAP Dimensions
    Huge Dimensions
    Summarizing OLAP Storage Options
    Using Proactive Caching
    Notification Settings for Proactive Caching
    Fine-Tuning Proactive Caching
    Deciding Among OLTP Partitioning, OLAP Partitioning, or Both
    Relational Table Partitioning in SQL Server 2005
    Other OLAP Partition Configurations
    Cube and Dimension Processing Options
    What's Next?

    8. Intermediate SSIS
    General ETL Package-Design Best Practices
    Creating the SSIS Package from Scratch
    Configuring Connections
    Using Data Source Views (DSVs)
    Reviewing the Included Samples Packages
    Adding Control Flow Tasks
    Container Tasks
    SQL Tasks
    File System Tasks
    Operating System Tasks
    Script Tasks
    Remote Tasks
    SSAS Tasks
    Precedence Constraints
    Using Expressions with Precedence Constraints
    Understanding Data Flow Transformations
    Understanding Data Sources and Destinations
    Adding Transformations to the Data Flow
    Adding Data Transformations
    Split Data Transformations
    Translate Data Transformations
    SSAS Data Transformations
    Slowly Changing Dimension Transformation
    Sample Data Transformations
    Run Command Data Transformations
    Enterprise Edition Only Data Transformations
    Using the Dynamic Package Configuration Wizard
    SSIS Expressions

    9. Advanced SSIS
    Understanding Package Execution
    Data Viewers
    Debugging SSIS Packages
    Logging Execution Results
    Error Handling
    Event Handlers
    Deploying the Package and Configuring Runtime Settings
    SSIS Package Deployment Options
    SSIS Package Execution Options
    SSIS Package Security
    Placing Checkpoints
    Using Transactions in SSIS Packages

    10. Introduction to MDX
    Understanding Basic MDX Query Syntax
    Writing Your First MDX Query
    Members, Tuples, and Sets
    Adding Calculated Members, Named Sets, and Script Commands
    Using Calculated Measures
    Named Sets
    Script Commands
    Understanding Common MDX Functions
    New or Updated MDX Functions
    Adding .NET Assemblies to Your SSAS Project
    Configuring Assemblies

    11. Introduction to Data Mining
    Defining SSAS Data Mining
    More Data Mining Concepts
    Architectural Considerations
    Reviewing Data Mining Structures
    Mining Structure Viewers
    Mining Accuracy Charts
    Mining Prediction Viewers
    Understanding the Nine Included Data Mining Algorithms
    Using the Mining Structure Wizard
    Content and Data Types
    Processing Mining Models
    SSIS and Data Mining
    Working with the DMX Language
    A Simple DMX Query
    Data Mining Clients

    12. Reporting Tools
    Using Excel 2003: Pivot Charts and More
    Limitations of Excel 2003 as an SSAS Client
    Using SQL Server Reporting Services (SSRS)
    Producing Reports with Report Builder
    Working with .NET 2.0 Report Viewer Controls
    Understanding SharePoint 2003 Web Parts
    Examining Business Scorecard Manager (BSM) 2005
    Considering ProClarity and Data Mining Clients
    Data Mining Clients

    13. SSAS Administration
    Understanding Offline vs. Online Mode in BIDS
    Reviewing SSMS/SSAS Administration
    XML for Analysis (XMLA)
    SSAS Deployment Wizard
    Server Synchronization
    Thinking About Disaster Recovery
    Considering Security
    Connection Strings
    Security Roles
    Other Security Planning Issues
    Understanding Performance Tuning
    Applying Scalability
    Using High Availability Clustering

    14. Integration with Office 2007
    SQL Server 2005 SP2
    Exploring Excel 2007
    KPI Support
    Configuring Excel 2007 as a Data Mining Client
    Using Excel 2007 as a Data Mining Client
    Using the Excel 2007 Data Preparation Group
    Using the Excel 2007 Data Modeling Group
    Using the Excel 2007 Accuracy and Validation Group
    Additions to the Final Release
    Integrating Microsoft Office SharePoint Server 2007 (MOSS)
    Using Excel 2007 on the Web (Excel Services)
    MOSS Data Connection Libraries
    MOSS KPIs (Key Performance Indicators)
    Using the SSRS Report Center and Reporting Web Parts
    MOSS Business Data Catalog (BDC)
    Exploring Performance Point Server (PPS) 2007
  • Citation
    • Full Title: Foundations of SQL Server 2005 Business Intelligence
    • Author/s:
    • ISBN-10: 1590598342
    • ISBN-13: 9781590598344
    • Edition: 1st Edition
    • Topic: Computer
    • Subtopic: SQL Programming
    • File Type: eBook
    • Idioma: English

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