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GRAPH DATABASE, NEO4J keywords, NEO4J TUTORIALS - Coggle Diagram
GRAPH
DATABASE
2. Options for Storing
Connected Data
SQL
NoSQL
Graph
1. Intro
docs
https://github.com/iansrobinson/graph-databases-use-cases
data models
Property Graph
RDF
Hypergraph
Graph Compute Engines
Power
Flexibility
Agility
Performance
3. Data Modeling With Graph
Cross-Domain Models
Begin a Query
Index & constraint & pattern
Intro to Cypher
Model & Goals
RDBMS vs Graph
"What you sketch on the whiteboard is what you store in the database"
Common Model Pitfall
Email Provenance Problem Domain
A sensible first Iteration?
Second time's the Charm
Evolving the domain
Identify Nodes & Relationships
5. Graphs in the
Real World
Why Choose Graph Databases
performance
Drastically accelerated
Common Use Cases
Social
Recommendation
Geo
Authorization & ACL
Real-World Examples
Social Recommendations
Authorization & ACL
Geospatial & Logistics
6. GraphDB Internals
Native Graph Processing
index-free adjacency
Native Graph Storage
off-heap cache
Programmatic APIs
Core API
Traversal Framework
Cypher
Nonfunctional
Characteristics
Transactions
Recoverability
Availability
Scale
Latency
Throughput
Capacity
7. Predictive Analysis with Graph Theory
DFS vs BFS
Dijsktra algorithm
A* algorithm
Predictive Modeling
triadic closure
structural balance
Local Bridges
4. Build GraphDB App
Data Modeling
Nodes for Things
Relationships for Structure
Fine-Grained vs Generic
App Architecture
Embedded mode
vs Server mode
Core API
Traversal Framework
Server extension
Clustering
Load Balancing
Read traffic separated
from Write traffic
Cache sharding
Read your own writes
Testing
Capacity Planning
Performance
Importing & Bulk Loading Data
Times: +24h
NEO4J keywords
Command line
Neo4j-import
Neo4j-client
Neo4j Desktop
Cypher
Recommendation engines
MongoDB and Neo4j
BOLT vs HTTP
Times: +7h
Graph Gallery
Halin tool monitoring
NEO4J TUTORIALS
Graph Data Modeling
Data Import
Manage Memory in Neo4j
Neo4j Tools
Graph Visualization
Neo4j with Docker
Performance Tuning