Authors:
- Detailed description on Relational Database Management System Concepts
- Variety of solved examples
- Review questions with solutions
- Worked out results to understand the concepts of Relational database management Systems using ORACLE Version 8.0.
- Application case studies and Projects on Database Management system in various fields like Transport Management, Hospital Management, and Academic Institution Management, Hospital Management, Railway Management and Election Voting System
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 47)
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Table of contents (14 chapters)
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Front Matter
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Back Matter
About this book
Information is a valuable resource to an organization. Computer software provides an efficient means of processing information, and database systems are becoming an increasingly common means by which it is possible to store and retrieve information in an effective manner. This book provides comprehensive coverage of fundamentals of database management systems. This book is for those who wish a better understanding of relational data modeling, its purpose, its nature, and the standards used in creating relational data models.
Authors and Affiliations
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PSG College of Technology, 641 004, Coimbatore, India
S. Sumathi, S. Esakkirajan
Bibliographic Information
Book Title: Fundamentals of Relational Database Management Systems
Authors: S. Sumathi, S. Esakkirajan
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-48399-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-48397-7Published: 13 February 2007
Softcover ISBN: 978-3-642-08012-8Published: 11 November 2010
eBook ISBN: 978-3-540-48399-1Published: 20 March 2007
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXVII, 776
Topics: Database Management, Mathematical and Computational Engineering, Artificial Intelligence
Industry Sectors: Aerospace, Biotechnology, Consumer Packaged Goods, Electronics, Engineering, Finance, Business & Banking, IT & Software, Law, Telecommunications