Graphing Your Way Through the Cosmos - Common Data Problems Solved with Graphs

Explore the power of graph databases in solving common data problems through this comprehensive conference talk. Gain insights into the natural connectivity of real-world data and how graph databases offer advantages over traditional entity-focused data modeling. Discover the fundamentals of graph theory, its historical context, and practical applications in various fields. Learn about the Gremlin API within Azure Cosmos DB and how it facilitates efficient data traversal. Examine real-world scenarios such as company reorganizations and corporate mergers to understand the flexibility and adaptability of graph databases. Delve into the intricacies of schema management, query techniques, and the advantages of graph databases over relational databases. By the end of this talk, acquire the knowledge to leverage graph databases for solving complex data challenges in business and beyond.

Introduction
About Chad
What are graphs
The history of graph theory
Applications of graph theory
What do graphs mean
What is a graph database
Power of graph databases
Graph vs relational databases
Company reorganization
Corporate mergers
Adding additional hierarchy
Schema management
What is Gremlin
Gremlin Components
Gremlin Support
Azure Cosmos
Graph Reversals
Requirements
Schema
Query
Document Schema
Questions
Querying Values
Recap
Conclusion