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. Awesome Company has acquired a small development company that specializes in making game leaderboards, so their software will be incorporated in for the score tracking system. All of their work was built on a Cassandra system, so we’ve deployed a database account using the Cassandra API. Now we will begin working with the score data.
Performing the actions of this lab will help you become familiar with how to create, modify, delete, and query data using the Cassandra 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.**
Learning Objectives
Successfully complete this lab by achieving the following learning objectives:
- Insert Scores
Use Data Explorer within the Azure Cosmos DB account to create score entries.
Example:
- gamerId: 7777
- topScore: 10000
- currentScore: 8000
- teamRank: 1
- worldRank: 32,000
- Update Scores
Use Data Explorer within the Azure Cosmos DB account to update score entries. One suggestion would be to change the current score.
- Query Scores
Use Data Explorer within the Azure Cosmos DB account to query the score entries. One suggestion would be to search for a particular gamerId.
- Delete Scores
Use Data Explorer within the Azure Cosmos DB account to delete score entries.
