A Practical Guide to Graph Databases

Explore the practical applications of graph databases in this comprehensive 55-minute conference talk. Learn about the recent emergence of graph database offerings on major cloud platforms and their growing importance in the tech industry. Dive into the practical aspects of applying graph databases to solve real-world business problems, including identifying suitable use cases and avoiding common pitfalls. Discover powerful insights that graph databases can provide through examples of common patterns and anti-patterns. Gain a solid understanding of graph database fundamentals, including the NoSQL spectrum, RDF/Triple Stores vs. Labeled Property Graphs, and key concepts such as visualization, pattern matching, clustering, centrality, and influence. Examine data modeling concerns, datastore considerations, and receive valuable advice from industry experience. By the end of this talk, acquire the knowledge to effectively leverage graph databases in your projects and make informed decisions about their implementation.

Intro
Graph Databases are hot
The NoSQL Spectrum
Why use a graph database?
Databases vs. Frameworks
RDF/Triple Stores vs. Labeled Property Graphs
Visualization
Pattern Matching
Clustering, Centrality, and Influence
Northwind Data Models
Datastore Concerns
Data Modelling Concerns
Advice from the trenches...