Description

Book Synopsis
DATA MODELING AND DATABASE DESIGN presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that student takes only one database course. Database design and data modeling encompass the minimal set of topics addressing the core competency of knowledge students should acquire in the database area. The text, rich examples, and figures work together to cover material with a depth and precision that is not available in more introductory database books.

Table of Contents
1. Database Systems: Architecture and Components. Part I: CONCEPTUAL DATA MODELING. 2. Foundation Concepts. 3. Entity-Relationship Modeling. 4. Enhanced Entity-Relationship (EER) Modeling. 5. Modeling Complex Relationships. Part II: LOGICAL DATA MODELING. 6. The Relational Data Model. Part III: NORMALIZATION. 7. Functional Dependencies. 8. Normal Forms Based on Functional Dependencies. 9. Higher Normal Forms. Part IV: DATABASE IMPLEMENTATION USING THE RELATIONAL DATA MODEL. 10. Database Creation. 11. Relational Algebra. 12. Structured Query Language (SQL). 13. Advanced Data Manipulation Using SQL. Appendix A. Appendix B.

Data Modeling and Database Design

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    A Hardback by Richard Scamell, Narayan Umanath

    £131.57

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      Book details

      Publisher Course Technology Inc
      Published 13 June 2014
      ISBN-13 9781285085258
      978-1285085258
      ISBN-10 1285085256
      Also in:
      Computer science

      Description

      Book Synopsis
      DATA MODELING AND DATABASE DESIGN presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that student takes only one database course. Database design and data modeling encompass the minimal set of topics addressing the core competency of knowledge students should acquire in the database area. The text, rich examples, and figures work together to cover material with a depth and precision that is not available in more introductory database books.

      Table of Contents
      1. Database Systems: Architecture and Components. Part I: CONCEPTUAL DATA MODELING. 2. Foundation Concepts. 3. Entity-Relationship Modeling. 4. Enhanced Entity-Relationship (EER) Modeling. 5. Modeling Complex Relationships. Part II: LOGICAL DATA MODELING. 6. The Relational Data Model. Part III: NORMALIZATION. 7. Functional Dependencies. 8. Normal Forms Based on Functional Dependencies. 9. Higher Normal Forms. Part IV: DATABASE IMPLEMENTATION USING THE RELATIONAL DATA MODEL. 10. Database Creation. 11. Relational Algebra. 12. Structured Query Language (SQL). 13. Advanced Data Manipulation Using SQL. Appendix A. Appendix B.

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