Relational Database Design and Implementation
Clearly Explained
4th Edition
Published on 27. April 2016
Book
Paperback/Softback
712 pages
978-0-12-804399-8 (ISBN)
Description
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.
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.
More details
Edition
4th edition
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Dimensions
Height: 233 mm
Width: 189 mm
Thickness: 40 mm
Weight
1452 gr
ISBN-13
978-0-12-804399-8 (9780128043998)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
04/2016
4th Edition
Morgan Kaufmann
€42.95
Available for download
Previous edition
Book
09/2009
3rd Edition
Morgan Kaufmann
€48.27
Article exhausted; check for reprint
Person
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.
Content
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
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