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How to Build a Business Rules Engine: Extending Application Functionality through Metadata Engineering (The Morgan Kaufmann Series in Data Management Systems) - Softcover

 
9781558609181: How to Build a Business Rules Engine: Extending Application Functionality through Metadata Engineering (The Morgan Kaufmann Series in Data Management Systems)

Inhaltsangabe

This is the only book that demonstrates how to develop a business rules engine. Covers user requirements, data modeling, metadata, and more. A sample application is used throughout the book to illustrate concepts. The code for the sample application is available online at http://www.refdataportal.com. Includes conceptual overview chapters suitable for management-level readers, including general introduction, business justification, development and implementation considerations, and more.

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Über die Autorin bzw. den Autor

Malcolm Chisholm holds an M.A. from the University of Oxford, a Ph.D.from the University of Bristol, and has over 20 years of experience in information technology. His expertise has allowed him to work in various industries focusing on systems development and data administration. Recently he has worked with the United Nations Development Program and Deloitte and Touche.

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[shelving code] Data Management/Programming

Business rules engines can make organizations more agile by allowing them to manage diverse sets of operating rules, such as many different contracts for goods and services with different clients. For example, business rules engines can contain interfaces that allow users to define business rules to add specific functionality to software applications in order to take advantage of particular business arrangements. This enables organizations to overcome the barriers of time, money, and reliability that traditional programming approaches present when trying to include variable business situations within information systems. Rules engines can also speed software implementation, provide increased auditability, and ensure engineering compliance. The capacity to understand and manage business rules outside of the "black box" of program code can improve the overall quality of IT infrastructures.

How to Build a Business Rules Engine is the first book to provide a detailed roadmap, with examples, for building a business rules engine. Written from the author"s 12 years of experience building business rules functionality, this book covers the necessary background and concepts, as well as the specific steps needed to build a rules engine. The book describes not only the components that a rules engine must have, but also the organizational issues that may determine its success after it has been built and implemented.

Features
· The only book that demonstrates how to develop a business rules engine. Covers user requirements, data modeling, repository design, metadata engineering, and more.
· Includes conceptual overview chapters suitable for management-level readers, including general introduction, business justification, and development and implementation considerations.
· A sample application is used throughout the book to illustrate concepts. The code for the sample application is available online at http://www.bizrulesengines.com.

About the Author
Malcolm Chisholm holds an M.A. from the University of Oxford, and a Ph.D. from the University of Bristol. He has over 20 years of experience in information technology and 12 years building business rules engines. His expertise has allowed him to work in various industries focusing on systems development and data administration. Recently he has worked with the United Nations Development Program and Deloitte and Touche.|[shelving code] Data Management/Programming

Business rules engines can make organizations more agile by allowing them to manage diverse sets of operating rules, such as many different contracts for goods and services with different clients. For example, business rules engines can contain interfaces that allow users to define business rules to add specific functionality to software applications in order to take advantage of particular business arrangements. This enables organizations to overcome the barriers of time, money, and reliability that traditional programming approaches present when trying to include variable business situations within information systems. Rules engines can also speed software implementation, provide increased auditability, and ensure engineering compliance. The capacity to understand and manage business rules outside of the "black box" of program code can improve the overall quality of IT infrastructures.

How to Build a Business Rules Engine is the first book to provide a detailed roadmap, with examples, for building a business rules engine. Written from the author"s 12 years of experience building business rules functionality, this book covers the necessary background and concepts, as well as the specific steps needed to build a rules engine. The book describes not only the components that a rules engine must have, but also the organizational issues that may determine its success after it has been built and implemented.

Features
· The only book that demonstrates how to develop a business rules engine. Covers user requirements, data modeling, repository design, metadata engineering, and more.
· Includes conceptual overview chapters suitable for management-level readers, including general introduction, business justification, and development and implementation considerations.
· A sample application is used throughout the book to illustrate concepts. The code for the sample application is available online at http://www.bizrulesengines.com.

About the Author
Malcolm Chisholm holds an M.A. from the University of Oxford, and a Ph.D. from the University of Bristol. He has over 20 years of experience in information technology and 12 years building business rules engines. His expertise has allowed him to work in various industries focusing on systems development and data administration. Recently he has worked with the United Nations Development Program and Deloitte and Touche.

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