Where Does the Data Come From (Classic Reprint)
Language: English
Published by Forgotten Books, 2018
- Softcover
- New
Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
£ 13.43
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Print on Demand. This book delves into the integration of information systems from the angle of their data sources, a field that has garnered scant attention until now. It primarily tackles two major challenges in the field: 1) tracking the origin of data; and 2) understanding which intermediate data sources contributed to the data's arrival at its final destination. The author presents a 'polygen model' and a solution for resolving these challenges that is compatible with existing relational database systems, a legacy technology that currently dominates the database market. With this, the author makes a substantial step towards removing the obstacles that persist in combining data from disparate sources. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.
Seller Inventory # 9781332247592_0
- Title
- Where Does the Data Come From (Classic Reprint)
- Author
- Y. Richard Wang, Stuart E. Madnick
- Publisher
- Forgotten Books
- Publication year
- 2018
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1332247598
- ISBN 13
- 9781332247592
- Seller catalogs
- Audits and Surveys
Abstract Many important Management Support Systems require access to and seamless integration of multiple heterogeneous database systems. This paper studies heterogeneous database systems from the source perspective. It aims at addressing issues such as the following. (1) Where is the data from? (2) Which intermediate sources were used to arrive at that data? Specifically, it presents a polygen model for resolving these data source and intermediate source problems. The polygen model provides a precise characterization of the source tagging problem and a solution including a polygen algebra, a data - driven query translation mechanism, and the necessary and sufficient condition for source tagging. This model has been developed as a direct extension of the relational model to the multiple database setting with source tagging capabilities, thus it enjoys all of the strengths of the traditional relational model. Source knowledge is important for many reasons. It enables users to apply their own judgment to the credibility of the information. It enables users to rationalize and reconcile data inconsistencies. It enables system designers to develop access charge systems. It enables an application user to adjust data. And it enables a system to interpret data semantics more accurately. In sum, source tagging capabilities should be a required functionality for future heterogeneous database systems.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
"Synopsis" may belong to another edition of this title.
About the Author
Stuart E. Madnick is Associate Professor of Management Science at the Sloan School of Management, M.I.T., and the principal investigator of a major research effort, funded by DOD and Citibank, to identify the key strategic, organizational, and technology issues in large-scale information systems.
"About the title" may belong to another edition of this title.
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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.
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Forgotten Books publishes hundreds of thousands of rare and classic books.
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
This text has been digitally restored from a historical edition. Some errors may persist, however we consider it worth publishing due to the work's historical value.
The digital edition of all books may be viewed before purchase if you request a sample.
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