Explore the world of graph databases in this comprehensive 56-minute conference talk. Learn about the history of graph theory, common graph problems, and industries that utilize graph databases. Discover the differences between various database types, including property graph datastores and multi-model datastores. Understand graph processing frameworks and compare RDF to property examples. Dive into querying techniques with example property model queries and visualization methods. Gain insights into practical applications such as product recommendations. By the end of this talk, acquire a solid foundation in graph databases, their ecosystem, and how they can potentially replace complex SQL queries in your applications.
What Are Graph Databases and Why Should I Care
Overview
Syllabus
Intro
History of Graph Theory
Things Connected to Similar Things
A Typical Graph Query
Through Arbitrary Hops
Common Graph Problems
Dependencies - Pipelines
Clustering - Industrial Assets
Similarity - Social Networks/Fraud
Categorization. Recommendation
Interactions Are Graphs
What Industries Use Graphs?
What is a Graph Database
Database types
Graph Databases are fastest growing datastore type
Database Versus Framework
Graph Processing Frameworks
RDF Versus Property Example
Property Graph Datastores
Multi-Model Datastores
Querying your data
Example Property Model Queries
Visualizing my Data
Visualization Examples
Product Recommendation
Getting Started
Taught by
NDC Conferences
