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Journal ArticleDOI

Federated database systems for managing distributed, heterogeneous, and autonomous databases

Amit P. Sheth, +1 more
- 01 Sep 1990 - 
- Vol. 22, Iss: 3, pp 183-236
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TLDR
In this paper, the authors define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures can be developed, and define a methodology for developing one of the popular architectures of an FDBS.
Abstract
A federated database system (FDBS) is a collection of cooperating database systems that are autonomous and possibly heterogeneous. In this paper, we define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures can be developed. We then define a methodology for developing one of the popular architectures of an FDBS. Finally, we discuss critical issues related to developing and operating an FDBS.

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Citations
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Proceedings ArticleDOI

Meta-data based mediator generation

TL;DR: This paper describes a meta-data framework, and associated software, designed to automate a significant portion of the mediator generation task and thereby reduce the effort involved in adapting to schema changes.
Book ChapterDOI

A Framework for Supporting Interoperability of Data Warehouse Islands Using XML

TL;DR: This paper presents a framework for providing interoperability of distributed, heterogeneous, and autonomous data warehouses based on a federated approach that focuses on schema integration using XML, which offers significant benefits for interoperability.
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Local and Federated Database Schemas Evolution, An Impact Propagation Model

TL;DR: The Source Code Software Components Structural Model (SC'SM) is proposed, which models applications manipulating persistent objects, stored in an ODMG-compliant database system.
Proceedings ArticleDOI

User authentication in multidatabase systems

TL;DR: This paper works out the authentication process and shows the advantages compared with related approaches, and presents several approaches with respect to different degrees of autonomy and heterogeneity.
Book ChapterDOI

From Extensible Databases to Interoperability between Multiple Databases and GIS Applications

TL;DR: This paper shows that its generalisation in an open distributed environment well supports the exchange of either (foreign) data or of ( foreign) operations between multiple geo-databases and several GIS application systems and in particular between databases and application-specific computation services.
References
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Book

The entity-relationship model: toward a unified view of data

TL;DR: A data model, called the entity-relationship model, is proposed that incorporates some of the important semantic information about the real world and can be used as a basis for unification of different views of data: the network model, the relational model, and the entity set model.
Book

Fundamentals of Database Systems

TL;DR: Fundamentals of Database Systems combines clear explanations of theory and design, broad coverage of models and real systems, and excellent examples with up-to-date introductions to modern database technologies.
Book

An Introduction to Database Systems

C. J. Date
TL;DR: Readers of this book will gain a strong working knowledge of the overall structure, concepts, and objectives of database systems and will become familiar with the theoretical principles underlying the construction of such systems.
Book

Principles of Distributed Database Systems

TL;DR: This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels and concentrates on fundamental theories as well as techniques and algorithms in distributed data management.
Journal ArticleDOI

A comparative analysis of methodologies for database schema integration

TL;DR: The aim of the paper is to provide first a unifying framework for the problem of schema integration, then a comparative review of the work done thus far in this area, providing a basis for identifying strengths and weaknesses of individual methodologies, as well as general guidelines for future improvements and extensions.
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