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Managing Time in Relational Databases: How to Design, Update and Query Temporal Data
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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. 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.
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Product details
Hardcover: 512 pages
Publisher: Morgan Kaufmann; 1 edition (July 27, 2010)
Language: English
ISBN-10: 0123750415
ISBN-13: 978-0123750419
Product Dimensions:
7.5 x 1.1 x 9.2 inches
Shipping Weight: 2.3 pounds (View shipping rates and policies)
Average Customer Review:
3.8 out of 5 stars
10 customer reviews
Amazon Best Sellers Rank:
#751,425 in Books (See Top 100 in Books)
No doubt about it, this is an old-school college text book with hard cover and durable binding.This book is no light read and is focused on the design and management of relational database tables using uni-temporal and bi-temporal data primarily in a business setting such as healthcare systems utilizing transaction processing.Objectives as mentioned in the book:* Seamless Access to Temporal Data -- One objective of this book is to describe how to manage uni-temporal and bi-temporal data in relational databases in such a way that they can be seamlessly accessed together with current data.* Encapsulation Of Temporal Data Structures and Processes -- A second objective is to describe how to encapsulate the complexities of uni-temporal and bi-temporal data management.* Enterprise Contextualization -- A third objective of this book is to explain how to implement temporal data management as an enterprise solution.* Internalization of Pipeline Datasets -- The final objective of this book is to describe how to bring pending transactions into their production tables that are their targets, and how to retain posted transactions in those same tables.Working with temporal data on a daily basis I find this subject interesting and this book relevant to my needs but I can see where this subject matter would apply to a niche market.This textbook is not for the casual reader and it assumes that the reader has a level of database skills already in place, has a familiarity with temporal data, some familiarity with relational database tables, and assumes the reader has some SQL coding skills or is familiar with the syntax.There are many examples throughout the book and all examples are in black & white with diagrams or coding examples; there are no glossy photos. Although I have not yet been able to go through the entire book I can see that I will benefit from the information contained and apply it to my daily work.This book is not for everyone and is not misleading in trying to sell itself as an all-in-one database development resource. The title says it all -- Managing Time in Relational Databases: How to Design, Update and Query Temporal Data
When this book was published last year, I must admit that the data architect in me was excited that an advanced database text had finally come along that addressed some issues that every data modeler must face (or should face) once they have mastered the rudimentary. The bulk of published database related books discuss SQL, or usage of specific database products. And while more books are beginning to appear on shelves that address topics such as data modeling, this genre is certainly in need of more texts that address the full spectrum of database usage.Despite the weightiness of this 400-page effort, which required quite the journey (be forewarned), this book is one of the most painstakingly detailed technology efforts that I have read in quite some time that goes to great lengths in making sure the reader understands the material that is presented. No stones are left unturned along the way in the explanations of the authors on how to design, update, and query temporal data. In addition, the introductions that Johnston and Weis provide on temporal data management and asserted versioning in the first 150 pages are unrivaled in textbook publishing.The authors state in their preface that there are four objectives of this book: (1) to describe how to manage uni-temporal and bi-temporal data in relational databases in such a way that they can be seamlessly accessed together with current data, (2) to describe how to encapsulate the complexities of uni-temporal and bi-temporal data management, (3) to explain how to implement temporal data management as an enterprise solution, and (4) to describe how to bring pending transactions into the production tables that are their targets, and how to retain posted transactions in those same tables.The authors also note that as this book when to press, they started the process of converting their initial provisional patent application for Asserted Versioning into a patent application, although any non-software-vendor company is granted the right to develop its own temporal data management software based on the concepts presented in this book, as long as such software is for use only by the company and not sold, leased, licensed, or given away to any other company or individual. An implementation of the concepts presented by the authors, the Asserted Versioning Framework (AVF), is also being created by the authors.Superb illustrations accompany explanations of concepts in all the right places. And the concluding chapter that the authors provide offers more substance than many lengthy white papers, offering an "ongoing research and development" section that presents a partial list of topics on which the authors are working, with topics such as use of AVF via Java and Hibernate of special interest to me. The asserted versioning glossary that spans over 50 pages of fine print and concludes the text is also highly appreciated. Well recommended to all data professionals.
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