Managing Schema Versions in Object-Oriented Databases

Liu, Xian; Nelson, David E.; Stobart, Simon; Stirk, S. D.

doi:10.1007/11547686_8

Cited by 6 publications

(1 citation statement)

References 17 publications

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“…In the first category, e.g., (Ferrandina et al, 1995;Liu et al, 1997;Tresh, 1991), a database evolution is implemented by schema updates and transformations of objects according to the definition of a new schema. In versioning approaches a database manages and stores: (1) multiple versions of objects, e.g., (Abdessalem & Jomier, 1997;Agrawal et al, 1991;Cellary & Jomier, 1990;Sciore, 1994), (2) multiple versions of data structures (classes or schemas), e.g., (Abiteboul & Santos, 1995;Grandi, 2004;Liu et al, 2005), and (3) versions of both classes and objects, e.g., (Andonoff et al, 1995;Bellosta, Wrembel, & Jomier, 1995;Cellary, Jomier, & Koszlajda, 1991;Matos Galante et al, 2005;Peters & Özsu, 1997).…”

Section: Managing Evolution In Databasesmentioning

confidence: 99%

A Survey of Managing the Evolution of Data Warehouses

Wrembel

2009

International Journal of Data Warehousing and Mining

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Methods of designing a data warehouse (DW) usually assume that its structure is static. In practice, however, a DW structure changes among others as the result of the evolution of external data sources and changes of the real world represented in a DW. The most advanced research approaches to this problem are based on temporal extensions and versioning techniques. This article surveys challenges in designing, building, and managing data warehouses whose structure and content evolve in time. The survey is based on the socalled Multiversion Data Warehouse (MVDW). In details, this article presents the following issues: the concept of the MVDW, a language for querying the MVDW, a framework for detecting changes in data sources, a structure for sharing data in the MVDW, index structures for indexing data in the MVDW.

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Section: Managing Evolution In Databasesmentioning

confidence: 99%

A Survey of Managing the Evolution of Data Warehouses

Wrembel

2009

International Journal of Data Warehousing and Mining

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A Survey on Versioning Approaches and Tools

Bayoudhi

Sassi

Jaziri

2021

Advances in Intelligent Systems and Computing

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Schema Versioning in Databases: A Literature Review

Brahmia,

Grandi,

Oliboni

2024

Comp. Open

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Changes involving the database schema are unavoidable events that sometimes occur in data-centric systems, due to many reasons like evolution of user requirements, corrective maintenance, improvement of the current schema with the addition of new integrity constraints, implementation of new business rules, or compliance to new regulations. In order to manage schema changes, researchers have proposed a technique named “schema versioning”, in which all versions of the database schema are kept along with their underlying data, preventing loss of information and obsolescence of legacy applications. This technique has been widely studied in both conventional and emerging databases. Despite lot of interesting research efforts that have dealt with database schema versioning and the importance of this technique for database maintenance, current Database Management Systems (DBMSs) do not provide sufficient support for its implementation. This paper (i) gives an overview of state-of-the-art research approaches to schema versioning in databases, based on the study of more than 270 papers and providing a historical perspective on the development of the topic, (ii) illustrates the support of schema versioning in commercial DBMSs, and (iii) points out some possible future research directions in this area.

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Managing Schema Versions in Object-Oriented Databases

Cited by 6 publications

References 17 publications

A Survey of Managing the Evolution of Data Warehouses

A Survey of Managing the Evolution of Data Warehouses

A Survey on Versioning Approaches and Tools

Schema Versioning in Databases: A Literature Review

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