
Graph Databases
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Content
- Intro
- Copyright
- Table of Contents
- Foreword
- Graphs Are Eating The World, And There's No Going Back
- Preface
- About the Second Edition
- About This Book
- Conventions Used in This Book
- Using Code Examples
- Safari® Books Online
- How to Contact Us
- Acknowledgments
- Chapter 1. Introduction
- What Is a Graph?
- A High-Level View of the Graph Space
- Graph Databases
- Graph Compute Engines
- The Power of Graph Databases
- Performance
- Flexibility
- Agility
- Summary
- Chapter 2. Options for Storing Connected Data
- Relational Databases Lack Relationships
- NOSQL Databases Also Lack Relationships
- Graph Databases Embrace Relationships
- Summary
- Chapter 3. Data Modeling with Graphs
- Models and Goals
- The Labeled Property Graph Model
- Querying Graphs: An Introduction to Cypher
- Cypher Philosophy
- MATCH
- RETURN
- Other Cypher Clauses
- A Comparison of Relational and Graph Modeling
- Relational Modeling in a Systems Management Domain
- Graph Modeling in a Systems Management Domain
- Testing the Model
- Cross-Domain Models
- Creating the Shakespeare Graph
- Beginning a Query
- Declaring Information Patterns to Find
- Constraining Matches
- Processing Results
- Query Chaining
- Common Modeling Pitfalls
- Email Provenance Problem Domain
- A Sensible First Iteration?
- Second Time's the Charm
- Evolving the Domain
- Identifying Nodes and Relationships
- Avoiding Anti-Patterns
- Summary
- Chapter 4. Building a Graph Database Application
- Data Modeling
- Describe the Model in Terms of the Application's Needs
- Nodes for Things, Relationships for Structure
- Fine-Grained versus Generic Relationships
- Model Facts as Nodes
- Represent Complex Value Types as Nodes
- Time
- Iterative and Incremental Development
- Application Architecture
- Embedded versus Server
- Clustering
- Load Balancing
- Testing
- Test-Driven Data Model Development
- Performance Testing
- Capacity Planning
- Optimization Criteria
- Performance
- Redundancy
- Load
- Importing and Bulk Loading Data
- Initial Import
- Batch Import
- Summary
- Chapter 5. Graphs in the Real World
- Why Organizations Choose Graph Databases
- Common Use Cases
- Social
- Recommendations
- Geo
- Master Data Management
- Network and Data Center Management
- Authorization and Access Control (Communications)
- Real-World Examples
- Social Recommendations (Professional Social Network)
- Authorization and Access Control
- Geospatial and Logistics
- Summary
- Chapter 6. Graph Database Internals
- Native Graph Processing
- Native Graph Storage
- Programmatic APIs
- Kernel API
- Core API
- Traversal Framework
- Nonfunctional Characteristics
- Transactions
- Recoverability
- Availability
- Scale
- Summary
- Chapter 7. Predictive Analysis with Graph Theory
- Depth- and Breadth-First Search
- Path-Finding with Dijkstra's Algorithm
- The A* Algorithm
- Graph Theory and Predictive Modeling
- Triadic Closures
- Structural Balance
- Local Bridges
- Summary
- Appendix A. NOSQL Overview
- The Rise of NOSQL
- ACID versus BASE
- The NOSQL Quadrants
- Document Stores
- Key-Value Stores
- Column Family
- Query versus Processing in Aggregate Stores
- Graph Databases
- Property Graphs
- Hypergraphs
- Triples
- Index
- About the Authors
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