Logical Data Modeling : What it is and How to do it /
By: Chmura, Alan [author.].
Contributor(s): Heumann, J. Mark [author.] | SpringerLink (Online service).
Material type:
BookSeries: Integrated Series in Information Systems: 5Publisher: New York, NY : Springer New York, 2005.Description: XII, 228 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387229621.Subject(s): Computer science | Information technology | Business -- Data processing | Computer organization | Computers | Database management | Management information systems | Computer Science | Database Management | IT in Business | Management of Computing and Information Systems | Models and Principles | Computer Systems Organization and Communication NetworksDDC classification: 005.74 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK39 |
Getting Started -- The Art Gallery Web: A Data Modeling Example -- Building the Data Map -- The Art Gallery Web (Continued) -- Keys and Valid Associations -- The Art Gallery Web (Continued) -- Defining Attributes -- The Art Gallery Web (Continued) -- Verifying the Data Model -- Validating the Data Model -- Design Patterns -- From Logical to Physical -- The End and the Beginning.
LOGICAL DATA MODELING: What It Is and How To Do IT is directed toward three groups of people: (1) Business subject matter experts, (2) information technology professionals, (3) advanced students in Computer Science, Management Information Systems, and e-Business. Its purpose is to outline the basics of logical data modeling—specifically, data modeling for relational database management systems—in simple, practical terms and in a business context. The focus on relational data modeling is consciously made because it is superior in modeling real business activities. By reading and understanding this book, the enterprise-side project managers should gain enough understanding of data modeling to understand the principles and help communicate that understanding to the people who know the business, do the work, and are going to be affected by the system that is being created.
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