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A Guided Tour of Relational Databases and Beyond
Database theory is now in a mature state, and this book addresses important extensions of the relational database model such as deductive, temporal and object-oriented databases. It provides an overview of database modelling with the Entity-Relationship (ER) model and the relational model providing the pivot on which the material revolves. The main body of the book focuses on the primary achievements of relational database theory, including query languages, integrity constraints, database design, comput able queries and concurrency control. The most important extensions of the relational model are covered in separate chapters. This book will be useful to third year computer science undergraduates and postgraduates studying database theory, and will also be of interest to researchers and database practitioners who would like to know more about the ideas underlying relational dat abase management systems and the problems that confront database researchers.
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Database Design and Relational Theory
What makes this book different from others on database design? Many resources on design practice do little to explain the underlying theory, and books on design theory are aimed primarily at theoreticians. In this book, renowned expert Chris Date bridges the gap by introducing design theory in ways practitioners can understand—drawing on lessons learned over four decades of experience to demonstrate why proper database design is so critical in the first place. Every chapter includes a set of exercises that show how to apply the theoretical ideas in practice, provide additional information, or ask you to prove some simple theoretical result. If you’re a database professional familiar with...
An Introduction to Database Systems
A comprehensive treatment of database technology, revised and expanded to reflect changes in theory and practice since the mid-1980s. Includes new chapters on logic-based systems, object-oriented systems, the first commercially available distributed database products, and an extensive revision of the relational model. Annotation copyrighted by Book News, Inc., Portland, OR
Date on Database
C. J. Date is one of the founding fathers of the relational database field. Many of today’s seasoned database professionals "grew up" on Date’s writings. Those same professionals, along with other serious database students and practitioners, form the core audience for Date’s ongoing writing efforts. Date on Database: Writings 2000-2006 is a compilation of Date’s most significant articles and papers over the past seven years. It gives readers a one-stop place in which to find Date’s latest thinking on relational technology. Many papers are not easily found outside this book.
Fifty Years of Relational, and Other Database Writings
Fifty years of relational. It’s hard to believe the relational model has been around now for over half a century! But it has—it was born on August 19th, 1969, when Codd’s first database paper was published. And Chris Date has been involved with it for almost the whole of that time, working closely with Codd for many years and publishing the very first, and definitive, book on the subject in 1975. In this book’s title essay, Chris offers his own unique perspective (two chapters) on those fifty years. No database professional can afford to miss this one of a kind history. But there’s more to this book than just a little personal history. Another unique feature is an extensive and in ...
Temporal Data & the Relational Model
Temporal database systems are systems that provide special support for storing, querying, and updating historical and/or future data. Current DBMSs provide essentially no temporal features at all, but this situation is likely to change soon for a variety of reasons; in fact, temporal databases are virtually certain to become important sooner rather than later, in the commercial world as well as in academia. This book provides an in-depth description of the foundations and principles on which those temporal DBMSs will be built. These foundations and principles are firmly rooted in the relational model of data; thus, they represent an evolutionary step, not a revolutionary one, and they will s...
