In this lesson, you’ll learn how to design Azure database solutions with efficiency in mind by aligning performance requirements with the right service and pricing model.
Rather than simply choosing a database based on familiarity or defaults, you’ll compare how different Azure data platforms behave in terms of compute consumption, scaling, and cost.
You’ll start by comparing Azure SQL Database, Azure SQL Managed Instance, and Azure Database for PostgreSQL so you can understand when each option delivers the best balance of compatibility, operational overhead, and licensing efficiency.
From there, you’ll examine Azure Cosmos DB throughput models and learn how provisioned and serverless approaches affect both predictability and cost.
Finally, you’ll explore workload management in Azure Synapse dedicated SQL pools and see how proper resource governance prevents waste and protects critical workloads.
By the end of this lesson, you’ll be able to choose the right database platform, right-size compute, and apply workload controls that reduce unnecessary spending while improving overall resource utilization and sustainability.