Database Systems in Science and EngineeringCRC Press, 1990. gada 1. janv. - 302 lappuses Computerized databases provide a powerful everyday tool for data handling by scientists and engineers. However, the unique nature of many technical tasks requires a specialized approach to make use of the many powerful commercial database tools now available. Using these tools has proved difficult because database technology is often shrouded in layers of jargon. An essential guide for scientists and engineers who use computers to avoid drowning in a flood of data, Database Systems in Science and Engineering dispels the myths associated with database design and breaks the barriers to successful databases. Using the language of scientists and engineers, this book explains concepts and problems, offers practical steps and solutions, and provides new ideas for better data handling. The first part of the book presents an overview of technical databases using examples taken from real applications and the current state of technical databases. The second part covers the computer implementation of technical databases, including examples and the necessary computer science theory to form a sound background. The authors confront the many difficulties that arise in the design and implementation of a realistic database and offer solutions to these challenges. Before beginning any database project, scientists and engineers should read this book to understand how to make every database project successful through careful planning, good design, and efficient use of database tools. |
Saturs
The Nature of Technical Data | 8 |
Types of Technical Databases | 38 |
The Use of Technical Databases | 46 |
User Interfaces | 69 |
The Dissemination of Technical Databases | 95 |
Data Structures | 107 |
Architecture of a Database | 138 |
Data Models | 156 |
Database Planning | 205 |
Database Design | 232 |
Expert Systems | 254 |
279 | |
Bieži izmantoti vārdi un frāzes
alloys analysis Atom-No Atom-Wt atomic number Atomic-Mass file B-tree backward chaining block Chapter chemical Classroom CODATA conceptual schema cost data fields data items data sources data values database builders database management system database system dBASE DBMS discussed display entities entity-relationship diagram Ethane example expert system extendible hashing format FORTRAN grades hashing hierarchical illustrated in Figure important internal schema inverted list language large number length records materials menu metadata MYCIN N:M relationship Network model node normally object-oriented personal computer physical physical schema planning pointers possible printed probability problem property data queries relational database retrieval rules school database science and engineering scientific scientist or engineer scientists and engineers screen Section selection specific steels stored structure Symbol Table tapes technical data technical databases temperature tensile text database tree tribology user interface user needs usually
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