It is almost universally accepted that requirements documents for new or enhanced IT systems by business analysts should include a ‘data model’ to represent the information that has to be handled by the system.
Starting from first principles, this book will help business analysts to develop the skills required to construct data models through comprehensive coverage of entity relationship and class modelling, in line with, and beyond, the BCS Data Analysis syllabus.
สารบัญ
Introduction
Part 1: The Basics
Chapter 1: Why business analysts should model information
Chapter 2: Modelling the things of interest to the business and the relationships between them
Chapter 3: Modelling more complex relationships
Chapter 4: Drawing and validating data model diagrams
Chapter 5: Recording information about things
Chapter 6: Rationalising data using normalisation
Part 2: Supplementary Material
Chapter 7: Other modelling notations
Chapter 8: The naming of artefacts on information models
Chapter 9: Information model quality
Chapter 10: Corporate information and data models
Chapter 11: Data and databases
Chapter 12: Business intelligence
Chapter 13: Advances in SQL (or why business analysts should not be in the weeds)
Chapter 14: Taking a requirements information model into database design
Appendix A: Table of equivalences
Appendix B: Bibliography
Appendix C: Solutions to the exercises
เกี่ยวกับผู้แต่ง
Keith Gordon is an independent consultant and lecturer specialising in data management and business analysis. He has spent over 50 years in technical, education and training environments as an engineer, computer consultant, data manager, business analyst, education and training manager.
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