Graphing Your Way Through the Cosmos

Data as it appears in the real world is naturally connected, but traditional data modeling focuses on entities which can cause for complicated joins of these naturally connected data. That is where graph databases come in as they store data more like what happens naturally in the real world. Sure, there a lot of talk about using graph databases for social networks, recommendation engines, and Internet of Things; but using graph databases can also make a lot of sense when working with common business data problems.

In this presentation, you will get a better understanding of what graph databases are, how to use the Gremlin API within Azure Cosmos DB to traverse such data structures and see practical examples to common data problems.

Target Audience

• Developers and architects working with complex relational data
• Azure developers interested in Cosmos DB’s Gremlin API
• Teams evaluating graph databases for real-world business data problems

Prerequisites

• Basic understanding of database concepts and data modeling
• Familiarity with Azure and cloud services is helpful but not required
• No prior graph database or Gremlin API experience needed