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 stand the test of time.                                       This book is arranged in three parts and a set of appendixes:* Preliminaries: Provides a detailed review of the relational model, and an overview of the Tutorial D language.* Laying the Foundations: Explains basic temporal data problems and introduces fundamental constructs and operators for addressing those problems.* Building on the Foundations: Applies the material of the previous part to issues of temporal database design, temporal constraints, temporal query and update, and much more.* Appendixes: Include annotated references and bibliography, implementation considerations, and other topics.Key features:* Describes a truly relational approach to the temporal data problem.* Addresses implementation as well as model issues.* Covers recent research on new database design techniques, a new normal form, new relational operators, new update operators, a new approach to the problem of "granularity," support for "cyclic point types," and other matters.* Includes review questions and exercises in every chapter.* Suitable for both reference and tutorial purposes.

Temporal Data & the Relational Model (The Morgan Kaufmann Series in Data Management Systems) PDF

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