Publication

Versioning Approach for Database Evolution

2009

Abstract

Schema evolution is an important research topic with an extensive literature built up over the years. However, databases are still reluctant to change and thus their evolution is difficult to achieve because the evolution of the schema involves several issues at different levels of the database schema such as the change management at the logical level. Several approaches have been proposed to achieve the evolution of a schema of a wide range of types of databases. Versioning, modification and views are examples of these chosen approaches. This chapter presents and discusses one of these approaches, which is the versioning approach for database evolution. The future trends of the versioning are presented as well.

Official source

https://infoscience.epfl.ch/entities/publication/037a1103-0c06-4a59-9b2c-b218fdf42012

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2009

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/037a1103-0c06-4a59-9b2c-b218fdf42012

About this result

Related concepts (32)

Database schema

The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term "schema" refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases). The formal definition of a database schema is a set of formulas (sentences) called integrity constraints imposed on a database. These integrity constraints ensure compatibility between parts of the schema.

Three-schema approach

The three-schema approach, or three-schema concept, in software engineering is an approach to building information systems and systems information management that originated in the 1970s. It proposes three different views in systems development, with conceptual modelling being considered the key to achieving data integration.

Database

In computing, a database is an organized collection of data (also known as a data store) stored and accessed electronically through the use of a database management system. Small databases can be stored on a , while large databases are hosted on computer clusters or cloud storage. The design of databases spans formal techniques and practical considerations, including data modeling, efficient data representation and storage, query languages, security and privacy of sensitive data, and distributed computing issues, including supporting concurrent access and fault tolerance.

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