Table of Contents for
NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software by Ted Hills Published by Technics Publications, 2016
  1. cover
  2. NoSQL and SQL Data Modeling
  3. FrontMatter
  4. FrontMatter-1
  5. FrontMatter-2
  6. FrontMatter-3
  7. Acknowledgements
  8. Introduction
  9. Part I Real Words in the Real World
  10. Chapter 1 It’s All about the Words
  11. Chapter 2 Things: Entities, Objects, and Concepts
  12. Chapter 3 Containment and Composition
  13. Chapter 4 Types and Classes in the Real World
  14. Part II The Tyranny of Confusion
  15. Chapter 5 Entity-Relationship Modeling
  16. Chapter 6 The Unified Modeling Language
  17. Chapter 7 Fact-Based Modeling Notations
  18. Chapter 8 Semantic Notations
  19. Chapter 9 Object-Oriented Programming Languages
  20. Part III Freedom in Meaning
  21. Chapter 10 Objects and Classes
  22. Chapter 11 Types in Data and Software
  23. Chapter 12 Composite Types
  24. Chapter 13 Subtypes and Subclasses
  25. Chapter 14 Data and Information
  26. Chapter 15 Relationships and Roles
  27. Chapter 16 The Relational Theory of Data
  28. Chapter 17 NoSQL and SQL Physical Design
  29. Part IV Case Study
  30. Chapter 18 The Common Coffee Shop
  31. APPENDIX COMN Quick Reference
  32. Glossary
  33. Photo and Illustration Credits
  34. Index

Part III
Freedom in Meaning

Part I of this book returned us to the ordinary English meanings of words that we have co-opted for special purposes in the field of information technology. Each chapter in part II reviewed a modeling notation or language, in order to prepare you to see the issues in those notations that may not be evident, that COMN addresses.

Part III introduces COMN in earnest. It is the knowledge in part III, built on the foundation of the clear and simple meanings of words introduced in part I, that will enable you to use COMN to develop models of the real world, of data, and of software that are complete and precise, and that can become, with proper tool support, the basis of a highly efficient and accurate model-driven development process of data and software systems.