Showing papers on "Data warehouse published in 1986"

An Introduction to Information Science

Abstract: "Introduction Information Science as Question-Answering Data Collection and Analysis Data Collection Methods Data Analysis Making Predictions Data Organization and Use Understanding the Data Estimating and Using Data Values Coding the Data Coding the Data Fields, Records, and Files Storing the Data File Structures The Inverted File Retrieving the Data Information Retrieval Systems The Use of Data and Base Management Systems Displaying the Data Data Display Writing Graphics Programs The Communication of Data Human Computer Dialogue The Communication Model Data Manipulation Numerical Techniques Text Processing Decision-Making and Problem-Solving Decision-Making Problem-Solving "

A versatile, source‐independent system for digital data management

Abstract: A simple, easily used data management system for digital scientific data has been developed for scientists whose primary interest is data analysis rather than data management. This file system, herein called FLATDBMS, features standardized input/output (I/O) operations and nonhierarchical direct access self-documenting data files. The system is designed for scientists who interact with a variety of data sets when using FORTRAN programs. The design is particularly suited to searching for and selecting particular intervals of data, documenting data manipulations, and operating interactively with data. The cornerstone of the system is seven basic subroutines that perform the I/O operations in all applications programs. An interactive interface has been developed to allow easy viewing, selecting, and plotting of data stored in this format.

A data management system for graphical objects

Abstract: An experimental data management system for graphical objects has been implemented. The system describes data using relations, but contains enhancements which allow it to represent objects and abstract data types more directly than traditional relational systems. This paper describes the new management system by showing how it can be used to describe a database representing a building.

Data base design methodology for structural analysis and design optimization

Abstract: A methodology to design data bases for finite element analysis and structural design optimization is described. The methodology considers three views of data organization-conceptual, internal, and external. Tabular and matrix forms of data are included. The relational data model is used in the data base design. Entity, relation, and attributes are considered to form a conceptual view of data. First, second, and third normal forms of data are suggested to design an internal model. Several aspects such as processing, iterative needs, multiple views of data, efficiency of storage and access time, and transitive data are considered in the methodology.

Farandole: A RDBMS for Statistical Data Analysis

Abstract: We propose a RDBMS (Relational Data Base Management System) for the management of statistical data. The contribution of FARANDOLE is mainly to free the statisticians from the problems related to the manipulation of the files’ physical organization in one hand, and to check automatically the validity of the data in another hand.

Choosing an environment data model

Abstract: The semantic data model provides most of the capabilities needed to support software engineering projects. There are some aspects of supporting projects that are not adequately addressed by this model. This paper recommends several extensions to address these inadequacies. First, extensions are described to support the specification and enforcement of project data integrity. Second, extensions are described that support some of the behaviorial aspects of projects, such as methods. Third, extensions are described to control the scope of names and to control the visibility of operations and objects in a project. Software project examples are used to illustrate these extensions.