Managing Time in Relational Databases: How to Design, Update and Query Temporal Data - Hardcover

Über die Autorinnen und Autoren

Dr. Tom Johnston is the Chief Scientist at Asserted Versioning, LLC, which has developed a middleware product which supports the standard theory of bitemporal data, and which also implements the Asserted Versioning extensions to that standard theory. He is the co-author of Managing Time in Relational Databases (Morgan-Kaufmann, 2010). He lives in Atlanta, Georgia.

Randall Weis, founder and CEO of InBase, Inc, has more than 25 years of experience in IT and IT management, specializing in enterprise data architecture. Weis' technical expertise is in sophisticated, multi-tiered systems. He has designed logical and physical data models and implemented several high profile, very large database (VLDB) systems in the financial and insurance industries. These systems have had very stringent performance and real-time history requirements. His software development company, InBase, Inc., has developed software and Web sites used by some of the nations largest companies. Weis has been a presenter at various user groups, including Guide, Share, Midwest Database Users Group and Camp IT Expo. His technique for modeling history, retro activity and future dating has been reviewed and approved for the physical implementation of IBM's Insurance Application Architecture (IAA).

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Managing Time in Relational Databases shows how to make the rich information content of bi-temporal data available to business users, while simplifying the design, maintenance and retrieval of that data. Metadata declarations eliminate the need to directly model temporal data. Temporal data maintenance is isolated in code that can be invoked to update bi-temporal data in any database and from any application program, across the enterprise. Anyone who can write queries against conventional data will be able to write queries against the bi-temporal data structures described in this book.

For more information, please visit www.assertedversioning.com

Managing Time in Relational Databases shows how to make the rich information content of bi-temporal data available to business users, while simplifying the design, maintenance and retrieval of that data. Metadata declarations eliminate the need to directly model temporal data. Temporal data maintenance is isolated in code that can be invoked to update bi-temporal data in any database and from any application program, across the enterprise. Anyone who can write queries against conventional data will be able to write queries against the bi-temporal data structures described in this book.

For more information, please visit www.assertedversioning.com