In this chapter, we provisioned a Cosmos DB account with the SQL API, and we created a document database and a collection. Then, we populated the collection with JSON documents and we understood the system-generated keys that Cosmos DB adds to a document resource. We ended up with a collection, containing documents with different structures, because we took advantage of the schema-agnostic feature of Cosmos DB.
We used the web-based Azure portal to perform the different tasks, and then we learned how to take advantage of screen real estate with Azure Cosmos DB Explorer. We worked with the Azure Storage Explorer GUI tool and we learned how to work with the Azure Cosmos DB Emulator to develop and test applications without being billed for the storage, request units, and bandwidth consumed.
Now that we have created our first Cosmos DB SQL API database, collection, and document, and we have explored the available tools, we will learn about building and running queries and taking advantage...