Topic
Physical data model
About: Physical data model is a research topic. Over the lifetime, 1306 publications have been published within this topic receiving 33872 citations. The topic is also known as: database design.
Papers published on a yearly basis
Papers
22 Sep 1975
TL;DR: A data model, called the entity-relationship model, which incorporates the semantic information in the real world is proposed, and a special diagramatic technique is introduced for exhibiting entities and relationships.
Abstract: A data model, called the entity-relationship model, is proposed. This model incorporates some of the important semantic information about the real world. A special diagrammatic technique is introduced as a tool for database design. An example of database design and description using the model and the diagrammatic technique is given. Some implications for data integrity, information retrieval, and data manipulation are discussed.The entity-relationship model can be used as a basis for unification of different views of data: the network model, the relational model, and the entity set model. Semantic ambiguities in these models are analyzed. Possible ways to derive their views of data from the entity-relationship model are presented.
3,717 citations
Book•
17 Aug 1991TL;DR: This chapter discusses Conceptual Design, Logical Design, and Design Tools for Database Design, as well as Joint Data and Functional Analysis, and Improving the Quality of a Database Schema.
Abstract: I. CONCEPTUAL DATABASE DESIGN. 1. An Introduction to Database Design. 2. Data Modeling Concepts. 3. Methodologies for Conceptual Design. 4. View Design. 5. View Integration. 6. Improving the Quality of a Database Schema. 7. Schema Documentation and Maintenance. II. FUNCTIONAL ANALYSIS FOR DATABASE DESIGN. 1. Functional Analysis Using the Dataflow Model. 2. Joint Data and Functional Analysis. 3. Case Study. III. LOGICAL DESIGN AND DESIGN TOOLS. 1. High-Level Logical Design Using the Entity-Relationship Model. 2. Logical Design for the Relational Model. 3. Logical Design for the Network Model. 4. Logical Design for the Hierarchical Model. 5. Database Design Tools. Index. 0805302441T04062001
1,091 citations
Patent•
IBM1
TL;DR: An apparatus, system, and method for provisioning database resource within a grid database system is described in this paper, where an analysis module analyzes a data query stream from an application to a database instance and determines if the query stream exhibits a predetermined performance attribute.
Abstract: An apparatus, system, and method are disclosed for provisioning database resource within a grid database system. The federation apparatus includes an analysis module and a provision module. The analysis module analyzes a data query stream from an application to a database instance and determines if the data query stream exhibits a predetermined performance attribute. The provision module provisions a database resource in response to a determination that the data query stream exhibits the predetermined performance attribute. The provisioned database resource may be a database instance or a cache. The provisioning of the new database resource advantageously is substantially transparent to a client on the database system.
927 citations
1 Oct 1994
TL;DR: This work surveys data modeling, querying, data structures and algorithms, and system architecture for spatial database systems, with the emphasis on describing known technology in a coherent manner, rather than listing open problems.
Abstract: We propose a definition of a spatial database system as a database system that offers spatial data types in its data model and query language, and supports spatial data types in its implementation, providing at least spatial indexing and spatial join methods. Spatial database systems offer the underlying database technology for geographic information systems and other applications. We survey data modeling, querying, data structures and algorithms, and system architecture for such systems. The emphasis is on describing known technology in a coherent manner, rather than listing open problems.
832 citations
Book•
1 Sep 1994
TL;DR: This significant collection focuses on the most prominent research projects in active database systems, providing detailed discussions of their projects and the relevance of their results to the future of activedatabase systems.
Abstract: From the Publisher:
Active database systems enhance traditional database functionality with powerful rule-processing capabilities, providing a uniform and efficient mechanism for many database system applications. Among these applications are integrity constraints, views, authorization, statistics gathering, monitoring and alerting, knowledge-based systems, expert systems, and workflow management. This significant collection focuses on the most prominent research projects in active database systems. The project leaders for each prototype system provide detailed discussions of their projects and the relevance of their results to the future of active database systems.
Features:
A broad overview of current active database systems and how they can be extended and improved A comprehensive introduction to the core topics of the field, including its motivation and history Coverage of active database (trigger) capabilities in commercial products Discussion of forthcoming standards
796 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2024 | 1 |
| 2023 | 1 |
| 2022 | 4 |
| 2020 | 2 |
| 2019 | 3 |
| 2018 | 3 |