Catherine M. Ricardo - Databases Illuminated
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Library of Congress Cataloging-in-Publication Data
Names: Ricardo, Catherine M., author. | Urban, Susan D., author. | Davis, Karen C., author.
Title: Databases illuminated / Catherine M. Ricardo, Emeritus Professor of Computer Science, Iona College, New Rochelle, NY, Susan D. Urban, Emeritus Professor, School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, Karen C. Davis, Professor Miami University, Oxford, OH.
Description: Fourth edition. | Burlington, Massachusetts : Jones & Bartlett Learning, [2023] | Includes index.
Identifiers: LCCN 2021041929 | ISBN 9781284231588 (paperback)
Subjects: LCSH: Database management.
Classification: LCC QA76.9.D3 R514 2023 | DDC 005.74dc23
LC record available at https://lccn.loc.gov/2021041929
6048
Printed in the United States of America
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For Catherine M. Ricardo
To my husband, Henry, my children and their spouses, and my grandchildren, Tomas, Nicholas, Christopher, Joshua, and Elizabeth.
For Susan D. Urban
To my husband, Joe, and to Andrew and Heather, Jillian and David, and my grandsons, Charlie and Teddy. Thanks for your love and support.
For Karen C. Davis
To my husband, Bobby, and my daughter, Evie. Thanks for all the love and laughter.
For Susan and Karen
To Lois M.L. Delcambre for starting us down this path so many years ago.
Chapter opener image: cherezoff/Shutterstock
Chapter opener image: cherezoff/Shutterstock
Databases have become a central element of the framework of modern computer systems. It follows that the study of database systems, design, and management is an essential part of the education of computer science, data science, information science, and information technology curricula. A course in database technology should provide students with a strong theoretical background, practice in database design, and experience creating and developing a working database. Students should also be exposed to emerging data management issues and new directions for database technology. This book is designed to help students integrate theoretical material with practical knowledge, using an approach that applies theory to database implementation. It will also help students understand the difference between traditional database technology and the new directions created by big data, outlining the motivation, fundamental concepts, technologies, and challenges associated with handling large datasets. Issues of data security and privacy are incorporated throughout the text, as well as in a special chapter devoted to these topics.
Theoretical foundations are presented early, and theoretical concepts are incorporated throughout the book, including in the chapters that address implementation. Chapters are sequenced to take the student through the process of planning, designing, and implementing databases using the leading models. Conceptual and logical database design are given thorough consideration. The entity-relationship (ER) and enhanced entity-relationship (EER) models are introduced early and then mapped to the relational model. Full examples of implementations of relational models are presented in detail, with Java Database Connectivity (JDBC) illustrated as an application programming interface for accessing relational databases. Reverse engineering from the relational to the ER model is included. Relational normalization is studied in detail, and many examples of the normalization process are discussed. The Unified Modeling Language (UML) is presented as a vehicle for conceptual design for the object-oriented model and a full example of an object-oriented model database is given. The object-relational model is described, with mappings from both UML and EER models shown. Details of implementing the object-relational model are presented. For the semi-structured model, both JavaScript Object Notation (JSON) and Extensible Markup Language (XML) implementations are presented. NoSQL models are described, with examples of documentbased and graph-based systems presented in detail.
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