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Titlebook: Applied Mathematics for Database Professionals; Lex Haan,Toon Koppelaars Book 2007 Lex deHaan and Toon Koppelaars 2007 database.databases.

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發(fā)表于 2025-3-21 17:46:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Mathematics for Database Professionals
影響因子2023Lex Haan,Toon Koppelaars
視頻videohttp://file.papertrans.cn/160/159939/159939.mp4
發(fā)行地址Authors are widely recognized in the database world.Technical review and foreword by C.J. Date, foremost world authority on relational theory.Author (and editor) affiliations with the Oak Table Networ
圖書封面Titlebook: Applied Mathematics for Database Professionals;  Lex Haan,Toon Koppelaars Book 2007 Lex deHaan and Toon Koppelaars 2007 database.databases.
影響因子.Relational databases hold data, right? They do indeed, but to think of a database as nothing more than a container for data is to miss out on the profound power that underlies relational technology. A far more powerful way of thinking lies in relational technologys foundation in the mathematical disciplines of logic and set theory...Databases contain truths or propositions describing some area of interest such as a business. Those truths are organized into sets. Operations from logic and set theory can be applied to existing sets of truths to derive new sets of truths. .Applied Mathematics for Database Professionals. introduces you to this way of thinking, to the logic and set theory that underlies relational database technology. All this may sound abstract now, but there are profound benefits from the deeper understanding youll gain from this book...The math that you‘ll learn in this book will put you above the level of understanding of most database professionalstoday. You‘ll better understand the technology and be able to apply it more effectively. You‘ll avoid data anomalies like redundancy and inconsistency. Understanding whats in this book will take your mastery of relationa
Pindex Book 2007
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發(fā)表于 2025-3-21 21:57:24 | 只看該作者
Tuple, Table, and Database Predicatestabase predicates to describe the data integrity constraints of a database design. The goal of this chapter is to establish these three different classes of predicates—which jointly we’ll refer to as .—and to give ample examples of predicates within each class.
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發(fā)表于 2025-3-22 01:34:39 | 只看該作者
Entscheidungsverfahren für komplexe ProblemeThe word “l(fā)ogic” has many meanings, and is heavily overloaded. It’s derived from the Greek word ., meaning “concerning language and speech” or “human reasoning.”
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發(fā)表于 2025-3-22 06:38:21 | 只看該作者
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發(fā)表于 2025-3-22 14:50:15 | 只看該作者
Entscheidungsverfahren für komplexe ProblemeFrom this chapter onward we’ll assume that you’re thoroughly familiar with all terminology introduced in Part 1 of this book. Only if we deem it necessary will we make explicit references back to where specific terminology was first introduced and defined.
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發(fā)表于 2025-3-22 20:59:45 | 只看該作者
Entscheidungsverhalten als rekursiver Proze?In this chapter, we’ll give a demonstration of how you can formally specify a database design. Formalizing a database design specification has the advantage of avoiding any ambiguity in the documentation of not only the database structure but, even more importantly, of all involved data integrity constraints.
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發(fā)表于 2025-3-23 01:53:57 | 只看該作者
https://doi.org/10.1007/978-3-322-81601-6By means of a ., you retrieve data from a database. In this chapter we’ll demonstrate how you can specify a query in a formal way. To do so, we won’t require the formal introduction of any new concepts; we’ve already presented all ingredients for specifying queries.
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發(fā)表于 2025-3-23 09:18:14 | 只看該作者
Physica-Schriften zur BetriebswirtschaftThus far this book’s main focus has been on formally specifying a database design. Of course, you want to do more than just specify a database design; you usually would like to . it using some DBMS. In this chapter we turn our attention towards implementing a database design.
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