Relational Database Design and Implementation

by Jan L. Harrington

Overview

Relational Database Design and Implementation: Clearly Explained, Fourth Edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while optimizing performance.

Database systems underlie the large majority of business information systems. Most of those in use today are based on the relational data model, a way of representing data and data relationships using only two-dimensional tables. This book covers relational database theory as well as providing a solid introduction to SQL, the international standard for the relational database data manipulation language.

The book begins by reviewing basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL. Topics such as the relational data model, normalization, data entities, and Codd's Rules (and why they are important) are covered clearly and concisely. In addition, the book looks at the impact of big data on relational databases and the option of using NoSQL databases for that purpose.

Product Details

ISBN-13:	9780128043998
Publisher:	Elsevier Science
Publication date:	04/22/2016
Edition description:	4th ed.
Pages:	712
Product dimensions:	7.60(w) x 9.30(h) x 1.60(d)

About the Author

Jan L. Harrington, author of more than 35 books on a variety of technical subjects, has been writing about databases since 1984. She retired in 2013 from her position as professor and chair of the Department of Computing Technology at Marist College, where she taught database design and management, data communications, computer architecture, and the impact of technology on society for 25 years.

Table of Contents

Part I: Introduction
1. The Database Environment
2. Systems Analysis and Database Requirements

Part II: Relational database design theory
3. Why Good Design Matters
4. Entities and Relationships
5. The Relational Data Model
6. Relational Algebra
7. Normalization
8. Database Design and Performance Tuning
9. Codd’s Rules for Relational DBMSs

Part III: Relational database design practice
10. Introduction to SQL
11. Using SQL to Implement a Relational Design
12. Using CASE Tools for Database Design
13. Database Design Case Study #1: Mighty-Mite Motors
14. Database Design Case Study #2: East Coast Aquarium
15. Database Design Case Study #3: SmartMart

Part IV: Using interactive SQL to manipulate a relational database
16. Simple SQL Retrieval
17. Retrieving Data from More Than One Table
18. Advanced Retrieval Operations
19. Working With Groups of Rows
20. Data Modification
21. Creating Additional Structural Elements

Part V: Database implementation issues
22. Concurrency Control
23. Database Security
24. Data Warehousing
25. Data Quality

Part VI: Beyond the relational data model
26. XML Support
27. Object-Relational Databases
28. Relational Databases and “Big Data”: The Alternative of a NoSQL Solution

Part VII: Appendices
A. Historical Antecedents
B. SQL Programming
C. SQL Syntax Summary

What People are Saying About This

From the Publisher

Covering such topics as the relational data model, normalization, data entities, and Codd's Rules and why they are important, this thorough guide reviews the basic concepts of good relational database design, including how to create, populate, and retrieve data using SQL, the standard database query language

Editorial Reviews

"I think this book addresses database designers and database professionals quite well. The book also is well-suited to be used for an introductory course on database management."— Craig Mullins, Corporate Technologist, NEON Enterprise Software

From the Publisher