Relational Database Design and Implementation: Clearly Explained

Relational Database Design and Implementation - CERN Document Server

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.

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In addition, the book looks at the impact of big data on relational databases and the option of using NoSQL databases for that purpose. Fully revised, updated, and expanded, Relational Database Design and Implementation, Fourth Edition , is the most lucid and effective introduction to relational database design and the database environment available. This edition retains its in-depth coverage of the process of designing a good relational database as well as three major case studies illustrating the planning and design steps involved in arriving at a sound design.

Relational Database Design Clearly Explained

Supporting the book's step-by-step instruction are three NEW case studies illustrating database planning, analysis, design, and management practices. In addition to these real-world examples, which include object-relational design techniques, an entirely NEW section consisting of three chapters is devoted to database implementation and management issues.

Table Of Content Chapter 1: Systems Analysis and Database Requirements Chapter 2: Entities and Data Relationships Chapter 4: Historical Antecedents Chapter 5: The Relational Data Model Chapter 6: Codd's Rules for Relational Databases Chapter 9: R Programming essentials by Mike McGrath The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years.

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