- Written by the authors of the Common Warehouse Metamodel (CWM) specification, this book is the official and authoritative developer's guide
- Provides a comprehensive look at how to develop database and data warehouse applications using the Common Warehouse Metamodel
- Covers the full development lifecycle including application design
- implementation, and deployment
- Companion Web site includes updates on the technology, descriptions of tools, and links to vendor sites
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Book Description
Editorial Reviews
From the Back Cover
The official guide on how to develop interoperable data warehouse and business intelligence applications from the authors of the CWM specification
This authoritative guide will show you how to develop interoperable data warehouse and business intelligence applications using the Common Warehouse Metamodel (CWM) specification. It provides you with clear explanations of how to implement CWM solutions for meta data interchange within your software products and use CWM-enabled tools in the construction of a corporate data warehouse, information factory, or supply chain. You'll find detailed descriptions of four models of data warehousing that greatly benefit from a standards-based approach to meta data integration.
The authors walk you through numerous in-depth code examples that you can follow in building your own CWM-enabled applications.
This book offers a logical and straightforward approach to developing CWM solutions. Covering the full development lifecycle, it will help you learn how to:
* Use CWM to model interchangeable meta data across data warehouses
* Apply design patterns to CWM meta data integration
* Understand the basics of constructing a CWM toolkit
* Build meta data repositories and advanced meta data services based on CWM
* Use "best practice" techniques in modeling interchangeable meta data
* Deploy an enterprise-wide meta data interchange solution
The companion Web site contains complete CWM solution models, a downloadable CWM repository solution, an active CWM meta data pattern catalog, updates on the technology, and links to vendor sites.
This authoritative guide will show you how to develop interoperable data warehouse and business intelligence applications using the Common Warehouse Metamodel (CWM) specification. It provides you with clear explanations of how to implement CWM solutions for meta data interchange within your software products and use CWM-enabled tools in the construction of a corporate data warehouse, information factory, or supply chain. You'll find detailed descriptions of four models of data warehousing that greatly benefit from a standards-based approach to meta data integration.
The authors walk you through numerous in-depth code examples that you can follow in building your own CWM-enabled applications.
This book offers a logical and straightforward approach to developing CWM solutions. Covering the full development lifecycle, it will help you learn how to:
* Use CWM to model interchangeable meta data across data warehouses
* Apply design patterns to CWM meta data integration
* Understand the basics of constructing a CWM toolkit
* Build meta data repositories and advanced meta data services based on CWM
* Use "best practice" techniques in modeling interchangeable meta data
* Deploy an enterprise-wide meta data interchange solution
The companion Web site contains complete CWM solution models, a downloadable CWM repository solution, an active CWM meta data pattern catalog, updates on the technology, and links to vendor sites.
About the Author
JOHN POOLE is a Distinguished Software Engineer at Hyperion Solutions and a coauthor of the CWM specification.
DAN CHANG is a member of the Database Technology Institute at IBM and a coauthor of the CWM specification.
DOUGLAS TOLBERT is a Consulting Engineer at Unisys Corporation and a coauthor of the CWM specification.
DAVID MELLOR is a Consulting Engineer at Oracle Corporation and a coauthor of the CWM specification.
DAN CHANG is a member of the Database Technology Institute at IBM and a coauthor of the CWM specification.
DOUGLAS TOLBERT is a Consulting Engineer at Unisys Corporation and a coauthor of the CWM specification.
DAVID MELLOR is a Consulting Engineer at Oracle Corporation and a coauthor of the CWM specification.
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Inside This Book
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First Sentence:
The Common Warehouse Metamodel (CWM) id an open industry standard defining a common metamodel and eXtensible Markup Language (XML)-based interchange format for meta data in the data warehousing and business analysis domains. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
meta data bridges, meta data integration architecture, shared meta data, analysis meta data, logical dimensional model, relational meta data, meta data interchange, meta data patterns, classifier equality, currency cube, interchange meta data, meta data interfaces, physical data resources, data integration architectures, serial integer, interchange scenario, base metamodel, business analysis domains, relational table model, standard for data warehouse integration, common metamodel, anchoring associations, raw operational data, interchange patterns, business analysis concepts Key Phrases - Capitalized Phrases (CAPs): (learn more)
Relational Trigger, Long Description, Attribute Level, Core Element, Attribute Parent, Attribute Figure, Attribute Color, Common Warehouse Metamodel, Entity Dimension, Get Relational, Behavioral Relationships Instance Figure, Column Figure, Core Attribute, Session Dimension, Event Dimension, Meta Object Facility, Parameter Dim, Referral Dimension, Causal Dimension, Customer Dimension, Dimension Figure, Online Analytical Processing, Page Dimension, Column Attribute, Markup Language New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The Common Warehouse Metamodel (CWM) id an open industry standard defining a common metamodel and eXtensible Markup Language (XML)-based interchange format for meta data in the data warehousing and business analysis domains. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
meta data bridges, meta data integration architecture, shared meta data, analysis meta data, logical dimensional model, relational meta data, meta data interchange, meta data patterns, classifier equality, currency cube, interchange meta data, meta data interfaces, physical data resources, data integration architectures, serial integer, interchange scenario, base metamodel, business analysis domains, relational table model, standard for data warehouse integration, common metamodel, anchoring associations, raw operational data, interchange patterns, business analysis concepts Key Phrases - Capitalized Phrases (CAPs): (learn more)
Relational Trigger, Long Description, Attribute Level, Core Element, Attribute Parent, Attribute Figure, Attribute Color, Common Warehouse Metamodel, Entity Dimension, Get Relational, Behavioral Relationships Instance Figure, Column Figure, Core Attribute, Session Dimension, Event Dimension, Meta Object Facility, Parameter Dim, Referral Dimension, Causal Dimension, Customer Dimension, Dimension Figure, Online Analytical Processing, Page Dimension, Column Attribute, Markup Language New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 8
books:
See all 8 books this book cites
2
books
cite this book:
- Design Patterns by Erich Gamma on 4 pages
- The Library of Babel by Jorge Luis Borges on page 150, and Back Matter
- Design Patterns: Elements of Reusable Object-Oriented Software by Erich Gamma on page 144, and Back Matter
- Object-Oriented Analysis and Design with Applications (2nd Edition) by Grady Booch on page 143, and Back Matter
- Sun Microsystems by Vault Reports in Front Matter
See all 8 books this book cites
- UML 2 Toolkit by Hans-Erik Eriksson in Front Matter
- Universal Meta Data Models by David Marco in Back Matter
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