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Managing Time in Relational Databases: How to Design, Update and
Query Temporal Data introduces basic concepts that will enable
businesses to develop their own framework for managing temporal
data. It discusses the management of uni-temporal and bi-temporal
data in relational databases, so that they can be seamlessly
accessed together with current data; the encapsulation of temporal
data structures and processes; ways to implement temporal data
management as an enterprise solution; and the internalization of
pipeline datasets. The book is organized into three parts. Part 1
traces the history of temporal data management and presents a
taxonomy of bi-temporal data management methods. Part 2 provides an
introduction to Asserted Versioning, covering the origins of
Asserted Versioning; core concepts of Asserted Versioning; the
schema common to all asserted version tables, as well as the
various diagrams and notations used in the rest of the book; and
how the basic scenario works when the target of that activity is an
asserted version table. Part 3 deals with designing, maintaining,
and querying asserted version databases. It discusses the design of
Asserted Versioning databases; temporal transactions; deferred
assertions and other pipeline datasets; Allen relationships; and
optimizing Asserted Versioning databases.
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