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Business Database Technology

An Integrative Approach to Data Resource Management with Practical Project Guides, Presentation Slides, Answer Keys to Hands-on Exercises for Students in Business Programs

by Shouhong Wang & Hai Wang

Paperback

Publisher: Universal-Publishers
Pub date: 2013
Pages: 337
ISBN-10: 1612332889
ISBN-13: 9781612332888
Categories: Computer & Information SciencesTechnology, Engineering & TransportationTextbooks & Study Guides

Abstract

Business Database Technology provides essential knowledge of relational database design, implementation, and applications, while providing a good balance between the core concepts and secondary concepts. It is intended for four-year college/university business students who study database technology and data resource management.

Students will learn data structure techniques for databases, data models, relational database, normalization and logical database design, SQL, physical database design, database administration, database in computer networks, and data warehouse. The book highlights the most important concepts of database development, such as faultless entity-relationships diagrams and normalization process. To maintain a well-rounded approach to the topics, both fundamental knowledge about database technology and hands-on material are presented. Succinct tutorials for professional database development projects and OLAP are also included.

About the Author

Shouhong Wang is a Professor at University of Massachusetts Dartmouth. He received his Ph.D. in Information Systems from McMaster University. He has over 25 years’ experience of higher education in the Information Systems field. He has published more than 100 research papers in academic journals and several books on the subjects of information systems.

Hai Wang is an Associate Professor at Saint Mary's University, Canada. He received his B.Sc. in Computer Science from the University of New Brunswick, and his M.Sc. and Ph.D. in Computer Science from the University of Toronto. His doctoral dissertation concentrated on database. He has published over 30 research articles in journals such as The VLDB Journal, Journal of Database Management, Data & Knowledge Engineering, Knowledge and Information Systems.