Get A Guided Tour of Relational Databases and Beyond PDF

By Mark Levene BSc, PhD, George Loizou BA, PhD (auth.)

ISBN-10: 0857293494

ISBN-13: 9780857293497

ISBN-10: 1852330082

ISBN-13: 9781852330088

Database conception is now in a mature country, and this ebook addresses vital extensions of the relational database version akin to deductive, temporal and object-oriented databases. It presents an summary of database modelling with the Entity-Relationship (ER) version and the relational version delivering the pivot on which the fabric revolves. the most physique of the e-book makes a speciality of the first achievements of relational database conception, together with question languages, integrity constraints, database layout, comput capable queries and concurrency keep an eye on. crucial extensions of the relational version are coated in separate chapters. This e-book may be worthy to 3rd yr machine technological know-how undergraduates and postgraduates learning database thought, and also will be of curiosity to researchers and database practitioners who wish to comprehend extra in regards to the rules underlying relational dat abase administration structures and the issues that confront database researchers.

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Extra resources for A Guided Tour of Relational Databases and Beyond

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Let us call an element i of the domain I an index, I itself an index set, ran(f) an indexed set, and the function f itself a family. Denote the value off at i by f; and call f; the ith coordinate of the family. We may write f={ ElxYliEI}. Alternatively, it is common practice to write If; liE I} or simply {j;}iEI or even {f;) when no ambiguity arises. By definition, a sequence is a family on the set of positive (or nonnegative) integers into Y. That is to say, a sequence is a function for which w - {O} or w serves as an index set.

7. What is a Data Model? 23 Similarly, the third tuple in the loans relation can be written as LOANS(O-07-044754-3, Main, 1, 1). The manipulative part of a deductive database is a logic-based language, the best known example being the rule-based query language Datalog. The syntax of Datalog resembles that of the programming language Prolog [MW88a, SS94, Apt97) but its semantics are different, since Prolog processes facts one at a time while Datalog processes sets of facts at a time. In addition, Datalog is a declarative language while Prolog can be viewed as a mixture between a procedural and a declarative programming language.

If A verifies each formula in S, then A is said to verify (or equivalently, satisfy) S; symbolically A F S. If A falsifies at least one formula in S, then A is said to falsify (or equivalently, not to satisfy) S; symbolically A ~ S. If A verifies a formula or a set of formulae, then A is a model for that formula or set of formulae. A formula or a set S of formulae is satisfiable if it has at least one model; otherwise it is unsatisfiable. A formula F is valid if every truth-assignment verifies F, in which case F is called a tautology.

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A Guided Tour of Relational Databases and Beyond by Mark Levene BSc, PhD, George Loizou BA, PhD (auth.)

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