Summary and resources
In this module, you learned how to design a cost efficient database solution that provides low latency, high availability, and scalability. You examined options for moving relational data workloads to the cloud. You explored scenarios for using Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines. You reviewed how to work with data in Azure SQL Edge, Azure Cosmos DB, and Azure Table Storage. You discovered how to protect data at rest, data in transmission, and data in use by using different security and encryption methods.
Learn more with Copilot
Copilot can assist you in designing Azure infrastructure solutions. Copilot can compare, recommend, explain, and research products and services where you need more information. Open a Microsoft Edge browser and choose Copilot (top right) or navigate to copilot.microsoft.com. Take a few minutes to try these prompts and extend your learning with Copilot.
What are the different Azure products for storing relational data? Compare and contrast these products so I know which one to select for my project.
Provide scalability options for Azure SQL. Provide examples for each option.
Compare Azure SQL to Cosmos DB. Include examples and pros and cons of using the products.
Provide scalability options for Cosmos DB. Are there any limits on scalability?
Learn more with Azure documentation
Explore SQL Server on Azure Virtual Machines.
Explore Azure SQL Managed Instance.
Explore Azure SQL Database.
Read about Azure Cosmos DB.
Discover Azure SQL Database serverless.
Build scalable cloud databases.
Scale out with Azure SQL Database.
Use elastic pools to manage and scale multiple databases in Azure SQL Database.
Learn more with self-paced training
Secure data at rest on Azure.
Work with Azure Cosmos DB.