Business Database Technology (2nd Edition): Theories and Design Process of Relational Databases, SQL, Introduction to OLAP, Overview of NoSQL Database

Wang, Shouhong

ISBN 10: 162734389X / ISBN 13: 9781627343893

Published by Universal Publishers 2022-05, 2022

About this Item

Seller Inventory # 6666-IUK-9781627343893

Bibliographic Details

• Title: Business Database Technology (2nd Edition): Theories and Design Process of Relational Databases, SQL, Introduction to OLAP, Overview of NoSQL Database
• Publisher: Universal Publishers 2022-05
• Publication Date: 2022
• Language: English
• ISBN 10: 162734389X
• ISBN 13: 9781627343893
• Binding: PF
• Edition: 2nd Edition
• Condition: New

About this title

Synopsis

Business Database Technology provides essential knowledge of database technology for four-year college/university business students who study information technology and data resource management.

Students will learn basic data structure techniques in databases, relational database model, design and implementation of relational databases, normalization, SQL, physical relational database design techniques, database administration, relational databases in computer networks, data warehouses, overview of OLAP (online analytical processing), and introduction to NoSQL databases.

About the Authors

Shouhong Wang is a Commonwealth Professor at University of Massachusetts Dartmouth. He received his Ph.D. in Information Systems from McMaster University. He has over 35 years' experience of higher education in the Information Systems field. He has published more than 140 research papers in academic journals and several books on the subjects of information systems.

Hai Wang is a 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 management and query processing. He has published over 90 research articles in journals such as The VLDB Journal, Journal of Database Management, Data & Knowledge Engineering, Knowledge and Information Systems.