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Temporal Data & the Relational Model (The Morgan Kaufmann Series in Data Management Systems) by C.J. Date, Hugh Darwen, Nikos A. Lorentzos is a nonfiction available to read on EtoBox.

What is Temporal Data & the Relational Model (The Morgan Kaufmann Series in Data Management Systems) about?

There can be no denying, I believe, that insofar as current major Database Management Systems (DBMS) are concerned, temporal data represents a significant problem: it is simply not possible to declaratively constrain the integrity of temporal data in SQL databases (or non-temporal data, even). I am not alone I am sure in having had to deal with duplicate, triplicate, quadruplicate, etc., records covering, or abutting, or overlapping on the same temporal periods. Not to mention the hoops that must be jumped through to reliably manipulate those same data.Date, Darwen, and Lorentzos have produced a formidable work here on applying some badly needed rigid logic to the whole sphere of temporal data within databases. And that rigid logic is afforded by the Relational Model. They consider three variants on the temporal data theme as vehicles for explanation and demonstration: 1. Semitemporal with current data only, 2. Temporal with current and historical data held within the same relvars (tables), 3. Temporal with current and historical data split into separate relvars. Temporal data is a complex area, so this book has, inevitably, had to get 'down and dirty' with the detail, but the aut

Who reads Temporal Data & the Relational Model (The Morgan Kaufmann Series in Data Management Systems)?

Author

C.J. Date, Hugh Darwen, Nikos A. Lorentzos

Publisher

Morgan Kaufmann Publishers

Published

2002

Language

EN

ISBN

9786611072940

Category

nonfiction

Subjects

Management, Computer Science, Business