Includes bibliographical references and index.

Print version record.

"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. 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."

The database environment -- Systems analysis and database requirements -- Why good design matters -- Entities and relationships -- The relational data model -- Relational Algebra -- Normalization -- Database design and performance tuning -- Codd's rules for relational DBMSs -- Introduction to SQL -- Using SQL to implement a relational design -- Using CASE tools for database design -- Database design case study #1: Mighy-Mite Motors --Database design case study #2: East Coast Aquarium --Database design case study #3: SmartMart -- Simple SQL retrieval -- Retrieving data from more than one table -- Advanced retrieval operations -- Working with groups of rows -- Data modification -- Creating additional structural elements -- Concurrency control -- Database security -- Data warehousing -- Data quality -- XML support -- Object-relational databases -- Relational databases and "Big Data": the alternative of a NoSQL Solution.