Refactoring Databases: Evolutionary Database Design (paperback) - Addison-Wesley Signature Series (Fowler) (Paperback)
  • Refactoring Databases: Evolutionary Database Design (paperback) - Addison-Wesley Signature Series (Fowler) (Paperback)
zoom

Refactoring Databases: Evolutionary Database Design (paperback) - Addison-Wesley Signature Series (Fowler) (Paperback)

(author), (author)
£36.99
Paperback 384 Pages / Published: 28/02/2011
  • We can order this from the publisher

Usually dispatched within 15 working days

  • This item has been added to your basket
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.

Publisher: Pearson Education (US)
ISBN: 9780321774514
Number of pages: 384
Weight: 598 g
Dimensions: 234 x 180 x 20 mm

You may also be interested in...

Designing Data-Intensive Applications
Added to basket
T-SQL Querying
Added to basket
£44.49
Paperback
Agile Data Warehouse Design
Added to basket
Data Analysis Using SQL and Excel
Added to basket
Data Science at the Command Line
Added to basket
PHP and MySQL Web Development
Added to basket
Data Wrangling with Python
Added to basket
Mining of Massive Datasets
Added to basket
Think Stats 2e
Added to basket
£27.99
Paperback
The Data Warehouse Toolkit
Added to basket
Kimball's Data Warehouse Toolkit Classics
Added to basket
The Elements of Statistical Learning
Added to basket
Getting Started with Data Science
Added to basket

Please sign in to write a review

Your review has been submitted successfully.