Working with the Gremlin API in Azure Cosmos DB

As modern, cloud-based apps have evolved, they've required data storage to adapt with them. Services such as Azure Cosmos DB have risen to the challenge by providing a fully-managed, multi-model, globally-distributed NoSQL database. In this hands-on lab scenario, our organization (Awesome Company) is developing a next-generation video game that will rely heavily on the Cloud. In order to achieve guaranteed performance around the globe, we've chosen Azure Cosmos DB as the data backend. There will be a social component to the game, allowing players to connect with friends and find new teammates based on common game interests, relationships, and more. To support this type of data model we've provisioned a database account using the Gremlin API. Now we will begin working with the graph data. Performing the actions of this lab will help you become familiar with how to create, modify, delete, and query data using the Gremlin API. **Note: Because the Azure Cosmos DB account is preprovisioned, it will take significant time for the lab to start up. Please be patient, and make sure to have at least an hour of time for completion of the lab.**