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Bitemporal data : theory and practice.
Author:
ISBN: 9780124080553 0124080553 0124080677 9780124080676 132216701X Year: 2014 Publisher: Waltham, Massachusetts : Morgan Kaufmann,

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Abstract

Bitemporal data is coming, and major database management systems are beginning to support it. You need to know what is going on ""under the hood"" and this book that will make you the expert on bitemporal data that every IT organization should have on its staff. There''s a lot more to bitemporal data than adding a second timestamp to history tables: for example, a temporal update of a single customer in a bitemporal customer table could require up to a dozen physical SQL transactions to complete. Vendors will eventually make it possible to write bitemporal transactions and bitemporal queri


Book
Managing time in relational databases : how to design, update and query temporal data
Authors: ---
ISBN: 9780123750419 0123750415 9786612699832 0080963374 1282699830 9780080963372 Year: 2010 Publisher: Amsterdam ; Boston : Morgan Kaufmann/Elsevier,

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This book presents a comprehensive view of how to manage a temporal database. Temporal data management refers to an integrated method of managing data about the past, present, and future of the objects and events of interest to the user. That is, managing non-current data in relational databases in such a way that past data can be seamlessly accessed together with current data with result sets containing both current and non-current data that can be retrieved with queries simple enough for a business user to write and with result set response times very close to those for result sets contain


Multi
Managing time in relational databases : how to design, update and query temporal data
Authors: ---
ISBN: 9780080963372 0080963374 9780123750419 0123750415 1282699830 9786612699832 9781282699830 Year: 2010 Publisher: Amsterdam ; Boston : Morgan Kaufmann/Elsevier,

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Abstract

This book presents a comprehensive view of how to manage a temporal database. Temporal data management refers to an integrated method of managing data about the past, present, and future of the objects and events of interest to the user. That is, managing non-current data in relational databases in such a way that past data can be seamlessly accessed together with current data with result sets containing both current and non-current data that can be retrieved with queries simple enough for a business user to write and with result set response times very close to those for result sets contain

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