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What is included with this book?
Data warehousing has revolutionized the way businesses in a wide variety of industries perform analysis and make strategic decisions. Since the first edition of Data Warehousing Fundamentals, numerous enterprises have implemented data warehouse systems and reaped enormous benefits. Many more are in the process of doing so. Now, this new, revised edition covers the essential fundamentals of data warehousing and business intelligence as well as significant recent trends in the field.
The author provides an enhanced, comprehensive overview of data warehousing together with in-depth explanations of critical issues in planning, design, deployment, and ongoing maintenance. IT professionals eager to get into the field will gain a clear understanding of techniques for data extraction from source systems, data cleansing, data transformations, data warehouse architecture and infrastructure, and the various methods for information delivery.
This practical Second Edition highlights the areas of data warehousing and business intelligence where high-impact technological progress has been made. Discussions on developments include data marts, real-time information delivery, data visualization, requirements gathering methods, multi-tier architecture, OLAP applications, Web clickstream analysis, data warehouse appliances, and data mining techniques. The book also contains review questions and exercises for each chapter, appropriate for self-study or classroom work, industry examples of real-world situations, and several appendices with valuable information.
Specifically written for professionals responsible for designing, implementing, or maintaining data warehousing systems, Data Warehousing Fundamentals presents agile, thorough, and systematic development principles for the IT professional and anyone working or researching in information management.
Part 1 OVERVIEW AND CONCEPTS.
1 The Compelling Need for Data Warehousing.
Chapter Objectives.
Escalating Need for Strategic Information.
Failures of Past Decision Support Systems.
Operational Versus Decision-Support Systems.
Data Warehousing--The Only Viable Solution.
Data Warehouse Defined.
The Data Warehousing Movement.
Evolution of Business Intelligence.
Chapter Summary.
Review Questions.
Exercises.
2 Data Warehouse: The Building Blocks.
Defining Features.
Data Warehouses and Data Marts.
Architectural Types.
Overview of Components.
Metadata in the Data Warehouse.
3 Trends in Data Warehousing.
Continued Growth in Data Warehousing.
Vendor Solutions and Products.
Significant Trends.
Emergence of Standards.
Web-Enabled Data Warehouse.
Part 2 PLANNING AND REQUIREMENTS.
4 Planning and Project Management.
Planning Your Data Warehouse.
The Data Warehouse Project.
The Project Team.
Project Management Considerations.
5 Defining the Business Requirements.
Dimensional Analysis.
Information Packages—A Useful Concept.
Requirements Gathering Methods.
Requirements Definition: Scope and Content.
6 Requirements as the Driving Force for Data Warehousing.
Data Design.
The Architectural Plan.
Data Storage Specifications.
Information Delivery Strategy.
Part 3 ARCHITECTURE AND INFRASTRUCTURE.
7 The Architectural Components.
Understanding Data Warehouse Architecture.
Distinguishing Characteristics.
Architectural Framework.
Technical Architecture.
8 Infrastructure as the Foundation for Data Warehousing.
Infrastructure Supporting Architecture.
Hardware and Operating Systems.
Database Software.
Collection of Tools.
Data Warehouse Appliances.
9 The Significant Role of Metadata.
Why Metadata is Important.
Metadata Types by Functional Areas.
Business Metadata.
Technical Metadata.
How to Provide Metadata.
Part 4 DATA DESIGN AND DATA PREPARATION.
10 Principles of Dimensional Modeling.
From Requirements to Data Design.
The STAR Schema.
STAR Schema Keys.
Advantages of the STAR Schema.
STAR Schema: Examples.
11 Dimensional Modeling: Advanced Topics.
Updates to the Dimension Tables.
Miscellaneous Dimensions.
The Snowflake Schema.
Aggregate Fact Tables.
Families of STARS.
12 Data Extraction, Transformation, and Loading.
ETL Overview.
Data Extraction.
Data Transformation.
Data Loading.
ETL Summary.
Other Integration Approaches.
13 Data Quality: A Key to Success.
Why is Data Quality Critical?.
Data Quality Challenges.
Data Quality Tools.
Data Quality Initiative.
Master Data Management (MDM).
Part 5 INFORMATION ACCESS AND DELIVERY.
14 Matching Information to the Classes of Users.
Information from the Data Warehouse.
Who Will Use the Information?
Information Delivery.
Information Delivery Tools.
Information Delivery: Special Topics.
15 OLAP in the Data Warehouse.
Demand for Online Analytical Processing.
Major Features and Functions.
OLAP Models.
OLAP Implementation Considerations.
16 Data Warehousing and the Web.
Web-Based Information Delivery.
OLAP and the Web.
Building a Web-Enabled Data Warehouse.
17 Data Mining Basics.
What is Data Mining?.
Major Data Mining Techniques.
Data Mining Applications.
Part 6 IMPLEMENTATION AND MAINTENANCE.
18 The Physical Design Process.
Physical Design Steps.
Physical Design Considerations.
Physical Storage.
Indexing the Data Warehouse.
Performance Enhancement Techniques.
19 Data Warehouse Deployment.
Data Warehouse Testing.
Major Deployment Activities.
Considerations for a Pilot.
Security.
Backup and Recovery.
20 Growth and Maintenance.
Monitoring the Data Warehouse.
User Training and Support.
Managing the Data Warehouse.
Answers to Selected Exercises.
Appendix A. Project Life Cycle Steps and Checklists.
Appendix B. Critical Factors for Success.
Appendix C. Guidelines for Evaluating Vendor Solutions.
Appendix D. Highlights of Vendors and Products.
Appendix E. Real-World Examples of Best Practices.
References.
Glossary.
Index.
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.
