Title

Transformational Framework for the Automatic Control of Derived Data

Abstract

This paper investigates the specification, implementation and application of derived data in the context of a functional/binary association data model. A framework for the automatic maintenance of derived data is presented. This framework is based on the transformational techniques of finite differencing in which repeated costly computations are replaced by more efficient incremental counterparts. Applications of this approach to summary data, integrity control, and triggers are discussed.

Meeting Name

7th International Conference on Very Large Data Bases

Department(s)

Mathematics and Statistics

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1981 Association for Computing Machinery (ACM), All rights reserved.

This document is currently not available here.

Share

 
COinS