The Agile Data (AD) Method

Catalog of Database Refactorings: Data Quality Refactorings (Data Repairs)

by Scott W. Ambler

Data quality database refactorings have been renamed data repairs and are considered a data quality technique in their own right.  Please visit that page for details

A data repair is a change which improves and/or ensures the consistency and usage of the values stored within the database. Data repairs, because they change data values, may change the data semantics (unlike database refactorings).


Recommended Reading

Database refactorings
This book describes, in detail, how to refactor a database schema to improve its design. The first section of the book overviews the fundamentals evolutionary database techniques in general and of database refactoring in detail. More importantly it presents strategies for implementing and deploying database refactorings, in the context of both “simple” single application databases and in “complex” multi-application databases. The second section, the majority of the book, is a database refactoring reference catalog. It describes over 60 database refactorings, presenting data models overviewing each refactoring and the code to implement it.

 

 

Choose Your WoW! 2nd Edition
This book, Choose Your WoW! A Disciplined Agile Approach to Optimizing Your Way of Working (WoW) – Second Edition, is an indispensable guide for agile coaches and practitioners. It overviews key aspects of the Disciplined Agile® (DA™) tool kit. Hundreds of organizations around the world have already benefited from DA, which is the only comprehensive tool kit available for guidance on building high-performance agile teams and optimizing your WoW. As a hybrid of the leading agile, lean, and traditional approaches, DA provides hundreds of strategies to help you make better decisions within your agile teams, balancing self-organization with the realities and constraints of your unique enterprise context.

 

I also maintain an agile database books page which overviews many books you will find interesting.