"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 warehousesUsers 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 functionality still missing
from SQL.
Understand how the relational model provides an ideal basis for
taming the complexities of temporal databases Learn how to analyze
and evaluate commercial temporal products with this timely and
important information Be able to use sound principles in designing
and using temporal databases Understand the temporal support
recently added to SQL with coverage of the new SQL features in this
unique, accurate, and authoritative reference Appreciate the
benefits of a truly relational approach to the problem with this
clear, user friendly presentation
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