A First Course in Database Systems (3rd Edition) by Jennifer Widom, Jeffery D. Ullman

By Jennifer Widom, Jeffery D. Ullman

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For Database platforms and Database layout and alertness classes provided on the junior, senior, and graduate degrees in desktop technological know-how departments.

Written through recognized computing device scientists, this available and succinct advent to database structures makes a speciality of database layout and use. The authors supply in-depth assurance of databases from the perspective of the database dressmaker, consumer, and alertness programmer, leaving implementation for later classes. it's the first database structures textual content to hide such issues as UML, algorithms for manipulating dependencies in relatives, prolonged relational algebra, personal home page, 3-tier architectures, info cubes, XML, XPATH, XQuery, XSLT.

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Extra resources for A First Course in Database Systems (3rd Edition)

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I, also includes normalization, the proces, thereby functional dependencies and other formal dependencies ai used to improve the design of a relational database. We also consider high-level design notations. These mechanisms include the nfaty-Relationship (E/R) model, Unified Modeling Language (UML), and Object Definition Langu (ODL). Their purpose is to allow informal exploration oi design issues before we implement the design using a relational DBMS. 13. 01 VLINE OF DATABASE-SYSTEM ST\ DIES II Part II: Relational D a t a b a s e P r o g r a m m i n g We then lake up the matter of how relational databases are queried and modified.

8. J. D. Ullman, Principles of Database and Knowledge-Base Systems, Volumes I and //, Computer Science Press, New York, 1988, 1989. -. " We begin with an overview of data models in general. W give the basic terminology for relations and show how the model can be used to represent typical forms of data. We then introduce a portion of the language SQL — that part used to declare relations and their stun tine. The chapter closes with an introduction to relational algebra. We see how this notation serves as both a query language — the aspect of a data model that enables us to ask questions about the data — and as a constraint language — the aspect of a data model that lets us restrict the data in the database in various ways.

Values can have structure, rather than being elementary types such as integer or strings, as they were in Fig. 1. 2. Relations can have associated methods. In a sense, these extensions, called the object-relational model, are analogous to the way structs in C were extended to objects in C + + . 3. 2. HASH'S OF THE RELA I lu\ \l. MODEL 21 Then ;(re even database models of the purely obje* rientedkind. In MH < the relation is no longer the principal data-structurim pi but I »inefl only one option among many structures.

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