Relational Database Design and Implementation (4^th Ed.) Clearly Explained

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.

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

• Features updated and expanded coverage of SQL and new material on big data, cloud computing, and object-relational databases
• Presents design approaches that ensure data accuracy and consistency and help boost performance
• Includes three case studies, each illustrating a different database design challenge
• Reviews the basic concepts of databases and database design, then turns to creating, populating, and retrieving data using SQL