Watson: Data Management, 6th Edition

Data Management:
Databases and Organizations
Richard T. Watson, University of Georgia
Edition 6.0
Copyright 2016
Publication date: August 28, 2015
Current Version: April 12, 2018
For Instructors
- 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 at Amazon: https://www.amazon.com/dp/B00E8HS8N2
Ordering Information for Students
Paperbacks:
Student Price: $58.50
ISBN: 978-1-943153-03-9
Paperbacks are available directly to students from Redshelf. Click below to order.
Description & Features
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.
New for the Sixth Edition:
- New coverage of on R, data visualization, text mining, clustering computing, and dashboards
- MySQL Workbench used for data modeling and SQL querying
- Integration of XML and MySQL
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