Data Warehousing
(Sprache: Englisch)
Since the first edition of Data Warehousing Fundamentals, there has been an increase in enterprises either already having or in the process of obtaining the data warehousing programs. Data Warehousing Fundamentals not only explores important topics, like...
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Klappentext zu „Data Warehousing “
Since the first edition of Data Warehousing Fundamentals, there has been an increase in enterprises either already having or in the process of obtaining the data warehousing programs. Data Warehousing Fundamentals not only explores important topics, like planning requirements, architecture, infrastructure, data preparation, and information delivery, but also the most up-to-date research on areas of technological improvements since the first edition. Additionally, Information Technologists will find expert advice, review questions, exercises, as well as an answer section are all included in this revised text.
Inhaltsverzeichnis zu „Data Warehousing “
Preface.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.
Chapter Objectives.
Defining Features.
Data Warehouses and Data Marts.
Architectural Types.
Overview of Components.
Metadata in the Data Warehouse.
Chapter Summary.
Review Questions.
Exercises.
3 Trends in Data Warehousing.
Chapter Objectives.
Continued Growth in Data Warehousing.
Vendor Solutions and Products.
Significant Trends.
Emergence of Standards.
Web-Enabled Data Warehouse.
Chapter Summary.
Review Questions.
Exercises.
Part 2 PLANNING AND REQUIREMENTS.
4 Planning and Project Management.
Chapter Objectives.
Planning Your Data Warehouse.
The Data Warehouse Project.
The Project Team.
Project Management Considerations.
Chapter Summary.
Review Questions.
Exercises.
5 Defining the Business Requirements.
Chapter Objectives.
Dimensional Analysis.
Information Packages--A Useful Concept.
Requirements Gathering Methods.
Requirements Definition: Scope and Content.
Chapter Summary.
Review Questions.
Exercises.
6 Requirements as the Driving Force for Data Warehousing.
Chapter Objectives.
Data Design.
The Architectural
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Plan.
Data Storage Specifications.
Information Delivery Strategy.
Chapter Summary.
Review Questions.
Exercises.
Part 3 ARCHITECTURE AND INFRASTRUCTURE.
7 The Architectural Components.
Chapter Objectives.
Understanding Data Warehouse Architecture.
Distinguishing Characteristics.
Architectural Framework.
Technical Architecture.
Architectural Types.
Chapter Summary.
Review Questions.
Exercises.
8 Infrastructure as the Foundation for Data Warehousing.
Chapter Objectives.
Infrastructure Supporting Architecture.
Hardware and Operating Systems.
Database Software.
Collection of Tools.
Data Warehouse Appliances.
Chapter Summary.
Review Questions.
Exercises.
9 The Significant Role of Metadata.
Chapter Objectives.
Why Metadata is Important.
Metadata Types by Functional Areas.
Business Metadata.
Technical Metadata.
How to Provide Metadata.
Chapter Summary.
Review Questions.
Exercises.
Part 4 DATA DESIGN AND DATA PREPARATION.
10 Principles of Dimensional Modeling.
Chapter Objectives.
From Requirements to Data Design.
The STAR Schema.
STAR Schema Keys.
Advantages of the STAR Schema.
STAR Schema: Examples.
Chapter Summary.
Review Questions.
Exercises.
11 Dimensio
Data Storage Specifications.
Information Delivery Strategy.
Chapter Summary.
Review Questions.
Exercises.
Part 3 ARCHITECTURE AND INFRASTRUCTURE.
7 The Architectural Components.
Chapter Objectives.
Understanding Data Warehouse Architecture.
Distinguishing Characteristics.
Architectural Framework.
Technical Architecture.
Architectural Types.
Chapter Summary.
Review Questions.
Exercises.
8 Infrastructure as the Foundation for Data Warehousing.
Chapter Objectives.
Infrastructure Supporting Architecture.
Hardware and Operating Systems.
Database Software.
Collection of Tools.
Data Warehouse Appliances.
Chapter Summary.
Review Questions.
Exercises.
9 The Significant Role of Metadata.
Chapter Objectives.
Why Metadata is Important.
Metadata Types by Functional Areas.
Business Metadata.
Technical Metadata.
How to Provide Metadata.
Chapter Summary.
Review Questions.
Exercises.
Part 4 DATA DESIGN AND DATA PREPARATION.
10 Principles of Dimensional Modeling.
Chapter Objectives.
From Requirements to Data Design.
The STAR Schema.
STAR Schema Keys.
Advantages of the STAR Schema.
STAR Schema: Examples.
Chapter Summary.
Review Questions.
Exercises.
11 Dimensio
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Autoren-Porträt von Paulraj Ponniah
Paulraj Ponnian, PhD, with over thirty years of experience as an IT consultant, has worked with such organizations as Texaco, Sotheby's Blue Cross/Blue Shield, NA Philips, New York-Presbyterian Hospital, Panasonic, and Bantam Doubleday Dell. He specializes in the design and Implementation of data warehouse and database systems. Dr. Ponniah has published three successful books and, as Adjunct Professor, continues to teach college courses in data warehousing and database design.
Bibliographische Angaben
- Autor: Paulraj Ponniah
- 2010, 2. Aufl., 608 Seiten, Masse: 18,3 x 26 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0470462078
- ISBN-13: 9780470462072
- Erscheinungsdatum: 21.06.2010
Sprache:
Englisch
Rezension zu „Data Warehousing “
".......clearly the author is a long-time practitioner and expert in this area. And if this were not enough, the language is clear and precise, and the associated content is easily internalised." (BCS, August 2010)
Pressezitat
".......clearly the author is a long-time practitioner and expert in this area. And if this were not enough, the language is clear and precise, and the associated content is easily internalised." (BCS, August 2010)
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