Using Graph Databases to Understand Complexly Connected Data - Application Development

Explore the world of graph databases and Neo4j in this comprehensive conference talk. Gain insights into the primary use cases for graph databases and discover the unique properties of Neo4j that enable these applications. Learn about the property graph model, query language, and how graph databases differ from relational databases. Delve into real-world examples of graph database applications, including recommendation engines and disruption analysis. Understand graph algorithms and their importance in complex data analysis. Get practical advice on how to start working with graph databases and overcome common challenges in understanding this technology. By the end of this talk, you'll have a solid foundation in graph database concepts and be equipped to leverage Neo4j for your data analysis needs.

Introduction
What is a graph database
Property graph model
Query language
Use cases
Disruption with graphs
Relational database example
Building the graph model
Graph algorithms
How to get started
Recommendation engines
Query
Example
Summary
Why its hard to understand
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