Managing Time in Relational Databases

Managing Time in Relational Databases

How to Design, Update and Query Temporal Data

1st Edition - July 13, 2010
This is the Latest Edition
  • Authors: Tom Johnston, Randall Weis
  • Hardcover ISBN: 9780123750419
  • eBook ISBN: 9780080963372

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Description

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.

Key Features

  • Integrates an enterprise-wide viewpoint with a strong conceptual model of temporal data management allowing for realistic implementation of database application development.
  • Provides a true practical guide to the different possible methods of time-oriented databases with techniques of using existing funtionality to solve real world problems within an enterprise data architecture environment.
  • Written by IT professionals for IT professionals, this book employs a heavily example-driven approach which reinforces learning by showing the results of puting the techniques discussed into practice.

Readership

IT professionals directly concerned with managing data and providign access to it. This inlcudes data modelers, database developers, database designers, data architects, database analysts, corporate database administrators, SQL programmers, and applications systems developers.

Table of Contents


  • About the Authors

    Preface

    Part 1 An Introduction to Temporal Data Management

    Chapter 1 A Brief History of Temporal Data Management

    Chapter 2 A Taxonomy of Bi-Temporal Data Management Methods

    Part 2 An Introduction to Asserted Versioning

    Chapter 3 The Origins of Asserted Versioning: Computer Science Research

    Chapter 4 The Origins of Asserted Versioning: IT Best Practices

    Chapter 5 The Core Concepts of Asserted Versioning

    Chapter 6 Diagrams and Other Notations

    Chapter 7 The Basic Scenario

    Part 3 Designing, Maintaining and Querying Asserted Version Databases

    Chapter 8 Designing and Generating Asserted Versioning Databases

    Chapter 9 An Introduction to Temporal Transactions

    Chapter 10 Temporal Transactions on Single Tables

    Chapter 11 Temporal Transactions on Multiple Tables

    Chapter 12 Deferred Assertions and Other Pipeline Datasets

    Chapter 13 Re-Presenting Internalized Pipeline Datasets

    Chapter 14 Allen Relationship and Other Queries

    Chapter 15 Optimizing Asserted Versioning Databases

    Chapter 16 Conclusion

    Appendix: Bibliographical Essay

    The Asserted Versioning Glossary

    Index






Product details

  • No. of pages: 512
  • Language: English
  • Copyright: © Morgan Kaufmann 2010
  • Published: July 13, 2010
  • Imprint: Morgan Kaufmann
  • Hardcover ISBN: 9780123750419
  • eBook ISBN: 9780080963372

About the Authors

Tom Johnston

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.

Affiliations and Expertise

Chief Scientist, Asserted Versioning, LLC, Atlanta, GA

Randall Weis

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).

Affiliations and Expertise

Founder and CEO, InBase Inc., Lemont, IL, USA