Azure Cosmos DB NoSQL: Partitioning, Queries & Performance

This course contains the use of artificial intelligence.

Stop struggling with database bottlenecks and learn to architect globally distributed, high-performance applications with Microsoft Azure's premier NoSQL database.

Who this course is for:

• Cloud developers transitioning from relational SQL databases to modern NoSQL architectures.

• Azure data engineers looking to optimize Cosmos DB costs, throughput, and performance.

• Software architects designing globally distributed, low-latency applications.

• Backend engineers preparing for Azure certification exams (AZ-204, DP-420).

What you will learn:

• Provision and manage Azure Cosmos DB resources using the Azure Portal and IaC.

• Design optimal partition keys to distribute data evenly and prevent hot partitions.

• Calculate and optimize Request Unit (RU) consumption to drastically reduce monthly cloud costs.

• Write advanced SQL queries tailored specifically for nested JSON document models.

• Configure global distribution and manage replication latency across multiple Azure regions.

• Select the correct consistency level to balance application performance with data accuracy.

• Monitor database health, set up alerts, and troubleshoot Request Rate Too Large errors.

• Implement custom indexing policies to minimize query charges and speed up reads.

Requirements:

• Basic understanding of JSON data structures.

• Familiarity with general cloud computing concepts.

• An active Microsoft Azure account (the free tier is sufficient for all exercises).

Final Project Description: Architect and deploy a highly scalable backend for an e-commerce shopping cart. You will provision the Cosmos DB account, define a partitioning strategy based on customer IDs, write the CRUD operations using the .NET SDK, and optimize your query structure to stay under a strict RU budget while maintaining sub-10ms response times.