Relational databases are great at relationships, right? Think again. In fact, things degrade quickly once you need to work with and analyze many interconnected entities in a traditional relational model. At that point, you really need a graph database. Attend this fast-focus session and see how the graph support included in SQL Server 2017 lets you embrace a graph data model without abandoning SQL Server and all of its rich native capabilities. Then we'll transition to Azure Cosmos DB and its Gremlin API to see how similar graph data models can be implemented in the NoSQL space.