Databases Illuminated - Couverture souple

Ricardo, Catherine M.; Urban, Susan D.; Davis, Karen C.

Couverture souple

ISBN 10 : 1284231585 ISBN 13 : 9781284231588

Editeur : Jones and Bartlett Publishers, Inc, 2022

Synopsis

Hear from Catherine M. Ricardo, PhD, on the importance of becoming a responsible steward of data in a world of big data!Databases Illuminated, Fourth Edition is designed to help students integrate theoretical material with practical knowledge, using an approach that applies theory to practical database implementation. The text helps students understand the difference between traditional database technology and the new directions created by big data, outlining motivation, fundamental concepts, technologies, and challenges associated with handling large datasets. Each new print copy includes Navigate eBook Access enabling you to read your digital textbook online or offline from your computer, tablet, or mobile device.Watch this video to preview Cloud Labs for Databases Illuminated. Available with new Cloud Labs, which provide immersive mock IT infrastructures where students can learn and practice foundational database management skills Expanded coverage of security issues such as SQL Injection with mitigation examples New coverage of blockchain databases and their applications Forward and reverse engineering of conceptual schemas from relational and object-relational schemasUpdated discussion of large-scale data models Expanded treatment of data warehouses and data analytics, including SQL analytic enhancementsExpanded discussion of big data and NoSQL, including MongoDB, and Neo4j Discussion of latest changes in SQL Standard Explanation and examples of new Oracle features including SQL for JSON data, SQL analytic functions, approximate query processing, and private temporary tablesDiscussion of new InterSystems Iris features for modeling object-oriented databases Updated discussion of social and ethical issues, including ethical use of social media, realistic examples of ethical dilemmas and a framework for ethical decision making, new professional standards for data professionals, data de-identification and new privacy legislation from an international perspective, and new intellectual property lawsMapping of latest curriculum standards in data science, computer science, information technology and information scienceEvery print text will now include a bound-in access code for the full-color eBook (c) 2023 682 pages

A propos du livre

À propos des auteurs

Catherine Ricardo is a Professor Emeritus of Computer Science at Iona University in New Rochelle, NY.' She received a B.A. from the College of Mount Saint Vincent, an M.A. from Fordham University, and an M. Phil. and Ph.D. from Columbia University. She served as departmental chairperson and as coordinator of graduate programs in computing at Iona. She has taught a variety of courses, but she has concentrated on courses in database systems, at both the undergraduate and graduate level. Her other interests include computing education, educational assessment, and computing curriculum development. She has written textbooks, book chapters, and numerous articles, and has made presentations at many conferences in the field.'

Susan D. Urban received the Ph.D. degree in computer science in 1987 from the University of Louisiana at Lafayette. She received the B.S. degree in computer science in 1976 and the M.S. degree in computer science in 1980, also from the University of Louisiana, Lafayette. She is currently'an emeritus professor in the School of Computing, Informatics, and Decisions Systems Engineering at Arizona State University. She has also held faculty positions at the University of Miami and at Texas Tech University. She has taught at the undergraduate and graduate level for over 28 years, with a focus on database design, data consistency, active rule processing, distributed databases, the use of databases in engineering design, and the development of innovative teaching concepts for database instruction. She has over 120 refereed publications and book chapters on her research and teaching activities.'

Dr. Karen Davis is a Professor in the Department of Computer Science and Software Engineering at Miami University in Oxford, OH. Dr. Davis received a B.S. degree in Computer Science from Loyola University, New Orleans in 1985 and an M.S. and Ph.D. in Computer Science from the University of Louisiana, Lafayette in 1987 and 1990, respectively. She was a Professor in the Electrical Engineering and Computer Science Department at the University of Cincinnati prior to joining the faculty at Miami. Her research interests include data modeling, query optimization, and computing education. She has over 100 refereed publications in conference proceedings, journals, and book chapters and more than 30 years of teaching experience. In 2016, she received the ASEE Sharon Keillor Award for Women in Engineering Education. In 2021, she received Miami's MAC Outstanding Faculty Award for Student Success.

Détails de l'édition

• Éditeur: Jones and Bartlett Publishers, Inc
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 1284231585
• ISBN 13: 9781284231588
• Reliure: Broché
• Numéro d'édition: 4
• Nombre de pages: 682
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible