Practical Business Intelligence With SQL Server 2005 1st edition by John Hancock,Roger Toren 9780321614858 0321614852
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Authors:John Christian Hancock; Roger Toren , Series:Management [103] , Tags:Business & Economics; New Business Enterprises; Computers; Artificial Intelligence; General; Database Administration & Management , Author sort:Hancock, John Christian & Toren, Roger , Ids:9780321356987 , Languages:Languages:eng , Published:Published:Dec 2007 , Publisher:Addison-Wesley , Comments:Comments:Design, Build, and Manage High-Value BI Solutions with SQL Server 2005  In this book, two of Microsoft’s leading consultants illustrate how to use SQL Server 2005 Business Intelligence (BI) technologies to solve real-world problems in markets ranging from retail and finance to healthcare. Drawing on extensive personal experience with Microsoft’s strategic customers, John C. Hancock and Roger Toren offer unprecedented insight into BI systems design and step-by-step best practices for implementation, deployment, and management.  Hancock and Toren introduce practical BI concepts and terminology and provide a concise primer on the Microsoft BI platform. Next, they turn to the heart of the book—constructing solutions. Each chapter-length case study begins with the customer’s business goals, and then guides you through detailed data modeling. The case studies show how to avoid the pitfalls that derail many BI projects. You’ll translate each model into a working system and learn how to deploy it into production, maintenance, and efficient operation.  Whether you’re a decision-maker, architect, developer, or DBA, this book brings together all the knowledge you’ll need to derive maximum business value from any BI project.     • Leverage SQL Server 2005 databases, Integration Services, Analysis Services, and Reporting Services     • Build data warehouses and extend them to support very large databases     • Design effective Analysis Services databases     • Ensure the superior data quality your BI system needs     • Construct advanced enterprise scorecard applications     • Use data mining to segment customers, cross-sell, and increase the value of each transaction     • Design real-time BI applications     • Get hands-on practice with SQL Server 2005’s BI toolset
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ISBN 10:0321614852
ISBN 13:9780321614858
Author:John Hancock,Roger Toren
This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version. Design, Build, and Manage High-Value BI Solutions with SQL Server 2005 In this book, two of Microsoft’s leading consultants illustrate how to use SQL Server 2005 Business Intelligence (BI) technologies to solve real-world problems in markets ranging from retail and finance to healthcare. Drawing on extensive personal experience with Microsoft’s strategic customers, John C. Hancock and Roger Toren offer unprecedented insight into BI systems design and step-by-step best practices for implementation, deployment, and management. Hancock and Toren introduce practical BI concepts and terminology and provide a concise primer on the Microsoft BI platform. Next, they turn to the heart of the book—constructing solutions. Each chapter-length case study begins with the customer’s business goals, and then guides you through detailed data modeling. The case studies show how to avoid the pitfalls that derail many BI projects. You’ll translate each model into a working system and learn how to deploy it into production, maintenance, and efficient operation. Whether you’re a decision-maker, architect, developer, or DBA, this book brings together all the knowledge you’ll need to derive maximum business value from any BI project. • Leverage SQL Server 2005 databases, Integration Services, Analysis Services, and Reporting Services • Build data warehouses and extend them to support very large databases • Design effective Analysis Services databases • Ensure the superior data quality your BI system needs • Construct advanced enterprise scorecard applications • Use data mining to segment customers, cross-sell, and increase the value of each transaction • Design real-time BI applications • Get hands-on practice with SQL Server 2005’s BI toolset
Practical Business Intelligence With SQL Server 2005 1st Table of contents:
Chapter 1 Introduction to Business Intelligence
What Is Business Intelligence?
Transaction Systems and the Search for Information
Why OLTP Reporting and Analysis Fails to Deliver
Data Warehouses
The Data Warehouse Design
Time and the Data Warehouse
Getting Data into the Data Warehouse
OLAP to the Rescue
Loading Information into OLAP Databases
Getting Information out of OLAP Databases
Why Is OLAP So Fast?
Dimensional Modeling Concepts
Hierarchies
Stars and Snowflakes
Choosing Between Star and Snowflake for a Dimension
Using Surrogate Keys
A Practical Approach to Dimensional Modeling
Designing a Dimensional Data Model
Making a List of Candidate Attributes and Dimensions
Making a List of Candidate Measures
Grouping the Measures with the Same Grain into Fact Tables
Fitting the Source Data to the Model
Business Intelligence Projects
A Business Value-Based Approach to BI Projects
Business Intelligence Project Pitfalls
Summary
Chapter 2 Introduction to SQL Server 2005
SQL Server Components
Development and Management Tools
Deploying Components
SQL Server Database Engine
Management
Scheduled Execution of Processes
Security
Availability
Scalability
Support for Very Large Databases
Integration Services
Designing Packages
Data Quality
Deploying and Configuring Packages
Analysis Services
Analysis Services Architecture
Development Environment
Managing and Securing Analysis Services
The Unified Dimensional Model
Support for Large and Mission-Critical BI Solutions
Reporting Services
Reporting Architecture
Reporting Services Features
Managing and Securing Reports
Data Mining
Data Mining Architecture
Data Mining Features
Other Technologies
Full-Text Search
Notification Services
Service Broker
Summary
Chapter 3 Building a Data Warehouse
Business Problem
Problem Statement
Solution Overview
Business Requirements
High-Level Architecture
Business Benefits
Data Model
What Process Will We Be Focusing On?
What Level of Detail Do We Need?
What Are the Ways of Looking At the Information?
What Are We Measuring?
Technical Solution
Building Dimension Tables
Building Fact Tables
Securing the Data Warehouse
Managing the Solution
Deployment
Maintenance
Operations
Next Steps
Extending the Manufacturing Solution
Using the BI Development Studio to Generate the Data Warehouse
Summary
Chapter 4 Building a Data Integration Process
Business Problem
Problem Statement
Solution Overview
Business Requirements
High-Level Architecture
Business Benefits
Data Model
The Budget Data
Working with Extended Measures
Technical Solution
Getting Started with Integration Services
Data Sources and Destinations
Loading the Dimensions
Loading the Fact Table
Loading the Budget Information from Excel
Loading Multiple Sets of Data
Managing the Solution
Protecting Your Source Code
Deployment
Deploying Packages to a New Server
Security
Maintenance
Operations
Next Steps
Data Quality
Scaling Your Solution
Other Transformations
Control Flow Tasks
Summary
Chapter 5 Building an Analysis Services Database
Business Problem
Problem Statement
Solution Overview
Business Requirements
High-Level Architecture
Business Benefits
Data Model
How Do We Handle “On-Time” Shipments?
How Late Were These Shipments, Anyway?
What Doesn’t Work Well in a Cube?
Technical Solution
Getting Started with Analysis Services
Building the Initial Cube
Setting Up the Dimensions
Modifying the Cube
Managing the Solution
Deployment
Maintenance
Operations
Next Steps
Extending the Manufacturing Solution
Accessing the Information
Using BI Development Studio in Online Mode
Summary
Chapter 6 Reporting
Business Problem
Problem Statement
Solution Overview
Business Requirements
High-Level Architecture
Business Benefits
Data Model
Who Does the Work?
What Are They Working On?
How Do We Measure What Work They Are Doing?
How Much Work Will They Be Doing in the Future?
Technical Solution
Getting Started with Reporting Services
Accessing Reports
Giving Users What They Want
Presenting Information
Securing the Information
Accessing the Database
Subscribing to Reports
Managing the Solution
Deployment
Maintenance
Operations
Next Steps
Adding Code to Reports Using .NET
Using Report Builder for End-User Reporting
Supporting Multiple Languages in a Report
Summary
Chapter 7 Data Quality
Business Problem
Problem Statement
Solution Overview
Business Requirements
High-Level Architecture
Business Benefits
Data Model
Technical Solution
Merging and De-duplicating Customer Data
Dealing with Missing Dimension Members
Adding Row Counts for Auditing
Preventing Bad Data at the Source
Managing the Solution
Deployment
Operations
Next Steps
Summary
Chapter 8 Managing Changing Data
Business Problem
Problem Statement
Solution Overview
Business Requirements
High-Level Architecture
Business Benefits
Data Model
Managing Dimensions When History Doesn’t Matter
Managing Dimensions to Preserve History
Technical Solution
Updating Dimensions with Changing Attributes
Preserving Information for Dimensions with Historical Attributes
Detecting Changes in Source Dimension Data
Inserting Facts with Surrogate Key Lookups from Changing Dimensions
Dealing with Very Wide Dimension Tables
Analysis Services Dimension Changes
Managing the Solution
Deployment
Operations
Next Steps
Dealing with Updated Facts
Historical Snapshots for Reporting
Summary
Chapter 9 Scorecards
Business Problem
Problem Statement
Solution Overview
Business Requirements
High-Level Architecture
Business Benefits
Data Model
How Good Are We at Handling Calls?
How Are Our Crime Reduction Initiatives Going?
How Are We Improving Professional Standards?
What Does the Public Think?
Technical Solution
Analysis Services Database
Building the Reports
Building the Scorecard Portal
Managing the Solution
Deployment
Security
Maintenance
Operations
Next Steps
Microsoft Office Tools for Scorecards
Supporting Multiple Languages with Analysis Services
Summary
Chapter 10 Data Mining
Business Problem
Problem Statement
Solution Overview
Business Requirements
High-Level Architecture
Business Benefits
Data Model
How Often Are Users Visiting the Web Site?
Who Is Using the Web Site?
What Interesting Attributes Can We Track?
Technical Solution
Adding Visit Information to the Data Warehouse
How We Will Be Using Data Mining
Approaching the Customer-Segmentation Problem
Getting Started with Data Mining
Analyzing with Data Mining Information
Creating a Model for Product Recommendations
Add Data Mining Intelligence into a Web Application
Managing the Solution
Deployment
Maintenance
Operations
Next Steps
Sequence Clustering to Build Smarter Web Sites
Other Data Mining Possibilities
Using Data Mining in Integration Services to Improve Data Quality
Summary
Chapter 11 Very Large Data Warehouses
Business Problem
Problem Statement
Solution Overview
Business Requirements
High-Level Architecture
Business Benefits
Data Model
Technical Solution
Partitioned Tables
Loading Large Volumes of Data
Partitioning Analysis Services Cubes
Aggregation Design
Large Dimension Support in SQL Server 2005
Managing the Solution
Initial Loading of the Data Warehouse
Managing Table Partitions
Managing Cube Partitions
Next Steps
Automating the Process
Partitioned Views
Scaling out Using Analysis Services Database Synchronization
Summary
Chapter 12 Real-Time Business Intelligence
Business Problem
Problem Statement
Solution Overview
Business Requirements
High-Level Architecture
Business Benefits
Data Model
Technical Solution
Cube Design for Real Time
Real-Time ETL—Working with the Data Source
Managing the Solution
Operations
Next Steps
Maintaining a Consistent View of the Source Data
Loading Data Directly into Analysis Services Using Integration Services
Notification Services
Summary
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