Technical environments require scalable non relational architectures to support global workloads. This course equips database professionals with methodologies to transition from relational designs to high performance NoSQL solutions using Azure Cosmos DB. Participants analyze JSON document schemas, implement nested structures, and optimize partition key strategies using Azure CLI. Through practical activities, participants evaluate request unit consumption patterns, resolve cross partition query bottlenecks, and configure multi region write controls. As the curriculum progresses, participants integrate the Cosmos DB Change Feed with Azure Functions to construct event driven data pipelines. Participants refine global replication settings and enforce consistency levels to meet strict availability SLAs. The course culminates in a capstone project where participants design and deploy a production ready non relational database solution tailored to enterprise requirements.
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Syllabus
- Participants evaluate JSON document schemas in Azure Cosmos DB Data Explorer to optimize read and write performance.
- Participants apply nested and denormalized data structures to eliminate multi document cross partition transactions.
- Participants select optimal partition keys using Azure CLI to ensure balanced request distribution.
- Participants configure multi region writes and consistency models via Azure Portal to satisfy SLA metrics.
- Participants integrate the Cosmos DB Change Feed with Azure Functions to build automated event driven pipelines.
- Participants synthesize course insights into a production ready non relational database architecture.