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Refactoring databases: evolutionary database design

Refactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance. Now, for the first time, leading agile methodologist Scott Ambler and renowned consultant Pramodkumar Sadalage introduce po...

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Detalles Bibliográficos
Autores principales: Ambler, Scott W, Sadalage, Pramod J
Lenguaje:eng
Publicado: Addison Wesley 2006
Materias:
Acceso en línea:http://cds.cern.ch/record/1508753
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author Ambler, Scott W
Sadalage, Pramod J
author_facet Ambler, Scott W
Sadalage, Pramod J
author_sort Ambler, Scott W
collection CERN
description Refactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance. Now, for the first time, leading agile methodologist Scott Ambler and renowned consultant Pramodkumar Sadalage introduce powerful refactoring techniques specifically designed for database systems. Ambler and Sadalage demonstrate how small changes to table structures, data, stored procedures, and triggers can significantly enhance virtually any database design–without changing semantics. You’ll learn how to evolve database schemas in step with source code–and become far more effective in projects relying on iterative, agile methodologies. This comprehensive guide and reference helps you overcome the practical obstacles to refactoring real-world databases by covering every fundamental concept underlying database refactoring. Using start-to-finish examples, the authors walk you through refactoring simple standalone database applications as well as sophisticated multi-application scenarios. You’ll master every task involved in refactoring database schemas, and discover best practices for deploying refactorings in even the most complex production environments. The second half of this book systematically covers five major categories of database refactorings. You’ll learn how to use refactoring to enhance database structure, data quality, and referential integrity; and how to refactor both architectures and methods. This book provides an extensive set of examples built with Oracle and Java and easily adaptable for other languages, such as C#, C++, or VB.NET, and other databases, such as DB2, SQL Server, MySQL, and Sybase. Using this book’s techniques and examples, you can reduce waste, rework, risk, and cost–and build database systems capable of evolving smoothly, far into the future.
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spelling cern-15087532021-04-21T23:42:09Zhttp://cds.cern.ch/record/1508753engAmbler, Scott WSadalage, Pramod JRefactoring databases: evolutionary database designComputing and ComputersRefactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance. Now, for the first time, leading agile methodologist Scott Ambler and renowned consultant Pramodkumar Sadalage introduce powerful refactoring techniques specifically designed for database systems. Ambler and Sadalage demonstrate how small changes to table structures, data, stored procedures, and triggers can significantly enhance virtually any database design–without changing semantics. You’ll learn how to evolve database schemas in step with source code–and become far more effective in projects relying on iterative, agile methodologies. This comprehensive guide and reference helps you overcome the practical obstacles to refactoring real-world databases by covering every fundamental concept underlying database refactoring. Using start-to-finish examples, the authors walk you through refactoring simple standalone database applications as well as sophisticated multi-application scenarios. You’ll master every task involved in refactoring database schemas, and discover best practices for deploying refactorings in even the most complex production environments. The second half of this book systematically covers five major categories of database refactorings. You’ll learn how to use refactoring to enhance database structure, data quality, and referential integrity; and how to refactor both architectures and methods. This book provides an extensive set of examples built with Oracle and Java and easily adaptable for other languages, such as C#, C++, or VB.NET, and other databases, such as DB2, SQL Server, MySQL, and Sybase. Using this book’s techniques and examples, you can reduce waste, rework, risk, and cost–and build database systems capable of evolving smoothly, far into the future.Addison Wesleyoai:cds.cern.ch:15087532006
spellingShingle Computing and Computers
Ambler, Scott W
Sadalage, Pramod J
Refactoring databases: evolutionary database design
title Refactoring databases: evolutionary database design
title_full Refactoring databases: evolutionary database design
title_fullStr Refactoring databases: evolutionary database design
title_full_unstemmed Refactoring databases: evolutionary database design
title_short Refactoring databases: evolutionary database design
title_sort refactoring databases: evolutionary database design
topic Computing and Computers
url http://cds.cern.ch/record/1508753
work_keys_str_mv AT amblerscottw refactoringdatabasesevolutionarydatabasedesign
AT sadalagepramodj refactoringdatabasesevolutionarydatabasedesign