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Can I read Time and Relational Theory: Temporal Databases in the Relational Model and SQL (The Morgan Kaufmann Series in Data Management Systems) on EtoBox?

Time and Relational Theory: Temporal Databases in the Relational Model and SQL (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 Time and Relational Theory: Temporal Databases in the Relational Model and SQL (The Morgan Kaufmann Series in Data Management Systems) about?

__Time and Relational Theory__ provides an in-depth description of temporal database systems, which provide special facilities for storing, querying, and updating historical and future data. Traditionally, database management systems provide little or no special support for temporal data at all. This situation is changing because: * Cheap storage enables retention of large volumes of historical data in data warehouses * Users are now faced with temporal data problems, and need solutions * Temporal features have recently been incorporated into the SQL standard, and vendors have begun to add temporal support to their DBMS products Based on the groundbreaking text __Temporal Data & the Relational Model__ (Morgan Kaufmann, 2002) and new research led by the authors, __Time and Relational Theory__ is the only book to offer a complete overview of the functionality of a temporal DBMS. Expert authors Nikos Lorentzos, Hugh Darwen, and Chris Date describe an approach to temporal database management that is firmly rooted in classical relational theory and will stand the test of time. This book covers the SQL:2011 temporal extensions in depth and identifies and discusses the temporal functional

Who reads Time and Relational Theory: Temporal Databases in the Relational Model and SQL (The Morgan Kaufmann Series in Data Management Systems)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
C. J. Date; Hugh Darwen; Nikos A. Lorentzos
Publisher
Elsevier Science & Technology Books; Morgan Kaufmann
Published
2014
Language
EN
ISBN
9781322076157
Category
nonfiction
Subjects
Management, Computer Science, Stem

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