Data Management: Databases and Organizations

Data Management: Databases and Organizations

Edition 6.0 | Copyright 2016 | Publication Date: April 2018

Richard T. Watson, University of Georgia

Overview


Please note: Prospect Press distributes only the print version of this text, and we do not provide review copies. We will provide a printed desk copy to adopters after we receive an order for at least five print copies. An ebook version is available from Amazon.

This is not your traditional database book. It differs in three fundamental ways. First, it is deeper than most database textbooks in its coverage of data modeling and SQL. Second, the treatments of data modeling and SQL are intertwined because the author’s teaching experience indicates that students more readily understand the intent of data modeling when they grasp the long-term goal— querying a well-designed relational database. Third, the book is broader than most database books, encompassing the design and maintenance of computer-based organization memory.

Features


Deeper Coverage
Delve into data modeling and SQL deeper than in other database books. The market seeks graduates who have these fundamental skills. Also, cover advanced data management topics including R, data visualization, text mining, Hadoop distributed file system (HDFS), MapReduce, XML and organizational intelligence.

Intertwined Presentation of Data Modeling and SQL
Motivate learning about data modeling by teaching about the long-term goal of database management—querying a well-designed relational database.

Table of Contents


Section 1: The Managerial Perspective
Ch 1: Managing Data
Ch 2: Information

Section 2: Data Modeling and SQL
Ch 3: The Single Entity
Ch 4: The One-to-Many Relationship
Ch 5: The Many-to-Many Relationship
Ch 6: One-to-One and Recursive Relationships
Ch 7: Data Modeling
Reference 1: Basic Structures
Ch 8: Normalization and Other Data Modeling Methods
Ch 9: The Relational Model and Relational Algebra
Ch 10: SQL
Reference 2: SQL Playbook

Section 3: Advanced Data Management
Ch 11: Spatial and Temporal Data Management
Ch 12: XML: Managing Data Exchange
Ch 13: Organization Intelligence
Ch 14: Introduction to R
Ch 15: Data Visualization
Ch 16: Text Mining and Natural Language Processing
Ch 17: Clustering Computing
Ch 18: Dashboards

Section 4: Managing Organizational Memory
Ch 19: Data Structure and Storage
Ch 20: Data Processing Architectures
Ch 21: SQL and Java
Ch 22: Data Integrity
Ch 23: Data Administration

About the Authors


Richard T. Watson is the J. Rex Fuqua Distinguished Chair for Internet Strategy in the Department of MIS at the University of Georgia's Terry College of Business. In 2006, Dr. Watson was appointed a Fellow of the Association for Information Systems and in 2007 a Fellow of the Royal Society of Arts. In 2011, he received the Association for Information Systems' (AIS) LEO award, which is given for exceptional lifetime achievement in Information Systems. He has published over 150 articles in leading academic and practitioner journals; written or edited more than 10 books (including a data Management textbook and the first book on Energy Informatics).  His most recent research focuses on Information Systems (IS) leadership, the business of open source, net-based customer service systems, and the role of IS in creating sustainable business practices as well as ecological sustainability.

Richard T. Watson

Ordering Information

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ISBN: 978-1-943153-03-9

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