Table of Contents for
Graph Data Modeling for NoSQL and SQL

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Graph Data Modeling for NoSQL and SQL by Thomas Frisendal Published by Technics Publications, 2016
  1. cover
  2. Graph Data Modelingfor NoSQL and SQL
  3. FrontMatter
  4. FrontMatter-1
  5. FrontMatter-2
  6. Foreword By Karen Lopez
  7. Chapter 1 Introduction
  8. Chapter 2 Why Model?
  9. Chapter 3 Real Requirements of Data Modeling
  10. Chapter 4 Data Modeling Described
  11. Chapter 5 Selected Detailed Examples
  12. Chapter 6 Before Your Expedition Begins
  13. Literature
  14. Index

Contents

  1. Foreword By Karen Lopez
  2. Chapter 1 Introduction
    1. 1.1. Motivation
    2. 1.2. Audience
    3. 1.3. Outline
    4. 1.4. Acknowledgments
  3. Chapter 2 Why Model?
    1. 2.1. Model What?
    2. 2.2. Providing Business Value from Big Data and NoSQL
    3. 2.3. Data Modeling Heritage
      1. 2.3.1. Evolution of Database
      2. 2.3.2. Pointer Database (DBOMP)
      3. 2.3.3. Hierarchical Workhorses
      4. 2.3.4. Programmer as Navigator
      5. 2.3.5. Chen, Entities, Attributes and Relationships
      6. 2.3.6. Relational Model
      7. 2.3.7. The Great Database War of the Eighties
      8. 2.3.8. Objects Galore!
      9. 2.3.9. Graph Models
      10. 2.3.10. Object Role Model (ORM) and Fact Modeling
      11. 2.3.11. New Keys in the Models
      12. 2.3.12. Data Modeling Conclusions
    4. 2.4. Perception, Cognition and Psychology
      1. 2.4.1. Perception and Cognition
      2. 2.4.2. Concept Maps
      3. 2.4.3. Conceptual Spaces
      4. 2.4.4. Knowledge Graphs
      5. 2.4.5. Cognitive Computing Example: Saffron
      6. 2.4.6. Ubiquitous Pointer
      7. 2.4.7. Think Spatially
  4. Chapter 3 Real Requirements of Data Modeling
    1. 3.1. Post-relational Data Modeling
    2. 3.2. Finding Meaning and Structure
      1. 3.2.1. Working with Business People
      2. 3.2.2. Concept Models as Part of User Stories
      3. 3.2.3. Functional Dependency Profiling
      4. 3.2.4. Mining the Semantics
    3. 3.3. Visualization of Models
      1. 3.3.1. Functional Dependency Visualization
      2. 3.3.2. Understanding Structure and Content
      3. 3.3.3. Property Graphs
      4. 3.3.4. Progressive Visualization of Data Models
      5. 3.3.5. Tool Support for Property Graphs
    4. 3.4. Data Modeling Requirements
      1. 3.4.1. Solution Architecture
      2. 3.4.2. Business Concept Model Requirements
      3. 3.4.3. Solution Data Model Requirements
      4. 3.4.4. On Using Property Graphs
      5. 3.4.5. Physical Data Model Requirements
      6. 3.4.6. Keeping it Simple
  5. Chapter 4 Data Modeling Described
    1. 4.1. Solution Modeling (Solution Model)
      1. 4.1.1. Business Concept Model
      2. 4.1.2. Power of Dependencies
      3. 4.1.3. Names Matter
      4. 4.1.4. Finding Patterns
      5. 4.1.5. Cardinality and Optionality
      6. 4.1.6. Housekeeping
      7. 4.1.7. Modeling the Subject Area Overview
      8. 4.1.8. Data Types
      9. 4.1.9. Identifiers, Keys, and Pointers
      10. 4.1.10. Keys
      11. 4.1.11. Handling Time
      12. 4.1.12. Design Involves Decisions
      13. 4.1.13. Abstraction, Specialization, and Generalization
      14. 4.1.14. Unusual Concepts
    2. 4.2. Transform, Optimize, and Deploy (Physical Model)
      1. 4.2.1. Creating the Physical Models
      2. 4.2.2. Denormalize with a Smile
      3. 4.2.3. Key / Value Targets
      4. 4.2.4. Document Stores
      5. 4.2.5. RDF and Triplestores
      6. 4.2.6. Property Graphs
      7. 4.2.7. Multidimensional Models
      8. 4.2.8. SQL Targets
  6. Chapter 5 Selected Detailed Examples
    1. 5.1. From Relational Model to Property Graph Model
    2. 5.2. A Multidimensional Model
    3. 5.3. A Survey Form
    4. 5.4. FIBO Indices and Indicators Model
  7. Chapter 6 Before Your Expedition Begins
    1. 6.1. Essential Skills and Insights for Your “Expeditions”
  8. Literature
  9. Index

Landmarks

  1. Cover
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