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Data modeling and database design / Narayan S. Umanath, University of Cincinnati, Richard W. Scamell, University of Houston.

By: Umanath, Narayan S.
Contributor(s): Scamell, Richard W.
Australia ; Boston, Massachusetts : Cengage Learning, ©2015Edition: Second edition.Description: xxiv, 754 pages : illustrations ; 24 cm.Content type: text ISBN: 9781285085258; 1285085256.Subject(s): Database design | Computer architecture | Entity-relationship modeling | Relational databases | SQL (Computer program language) | Object-oriented programming (Computer science)DDC classification: 005.743/Um1 Other classification: CCS Online resources: Contributor biographical information | Publisher description | Table of contents only
Contents:
Database systems: architecture and components -- pt. 1. Conceptual data modeling. Foundation concepts -- Entity-relationship modeling -- Enhanced entity-relationship (EER) modeling -- Modeling complex relationships -- pt. 2. Logical data modeling. The relational data model -- pt. 3. Normalization. Functional dependencies -- Normal forms based on functional dependencies -- Higher normal forms -- pt. 4. Database implementation using the relational data model. Database creation -- Relational algebra -- Structured Query Language (SQL) -- Advanced data manipulation using SQL -- Appendices. A. Data modeling architectures based on the inverted tree and network data structures -- B. Object-oriented data modeling architectures.
Summary: Presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that student takes only one database course.
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CCS 005.74/H67 Modern database management / CCS 005.74/H67 Modern database management / CCS 005.74/P88 Microsoft access 2013 : CCS 005.743/Um1 Data modeling and database design / CCS 005.7565/C61 Microsoft Access 2000 / CCS 005.7565/C61 Microsoft Access 2000 / CCS 005.7565/M22 MySQL workbench :

Includes bibliographical references and index.

Database systems: architecture and components -- pt. 1. Conceptual data modeling. Foundation concepts -- Entity-relationship modeling -- Enhanced entity-relationship (EER) modeling -- Modeling complex relationships -- pt. 2. Logical data modeling. The relational data model -- pt. 3. Normalization. Functional dependencies -- Normal forms based on functional dependencies -- Higher normal forms -- pt. 4. Database implementation using the relational data model. Database creation -- Relational algebra -- Structured Query Language (SQL) -- Advanced data manipulation using SQL -- Appendices. A. Data modeling architectures based on the inverted tree and network data structures -- B. Object-oriented data modeling architectures.

Presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that student takes only one database course.

College of Engineering and Computer Studies

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