Process Real-Time Changes with Cosmos DB Change Feed and Azure Functions
Build an event-driven pipeline where Cosmos DB change feed triggers an Azure Function to create materialized views in a second container.
Lab overview
Azure Cosmos DB change feed provides a persistent, ordered log of insert and update operations on a container, enabling event-driven architectures without polling or complex change-tracking logic. By pairing the change feed with Azure Functions, developers can build reactive pipelines that automatically process data modifications in near real-time - a pattern central to materialized views, data synchronization, audit trails, and downstream notification systems.
In this lab, you will connect a pre-provisioned Cosmos DB account to an Azure Function that uses the change feed trigger. You will write function code that listens for document changes in a source container, transforms the data, and writes derived records to a second container implementing the materialized view pattern. You will then insert and update documents to observe the end-to-end pipeline in action and verify that the materialized view stays synchronized with the source data.
Objectives
Upon completion of this intermediate level lab, you will be able to:
- Configure an Azure Functions project with the Cosmos DB change feed trigger binding
- Write function code that processes change feed documents and produces materialized view records
- Deploy the function to the pre-provisioned Function App connected to Cosmos DB
- Insert and update documents in the source container to trigger the change feed pipeline
- Verify that the materialized view container reflects the transformed data in near real-time
- Inspect function execution logs to understand change feed processing behavior
Who is this lab for?
This lab is designed for:
- Azure developers preparing for the AZ-204 exam who want hands-on experience with Cosmos DB change feed
- Backend developers building event-driven data processing pipelines
- Cloud engineers implementing the materialized view pattern with serverless architectures
Familiarity with the Azure portal, basic Python or JavaScript, and NoSQL concepts is recommended.
Verified against your live environment
An automated validation engine inspects your actual resources and configurations as you work. Completion means the task was performed, not multiple choice, real-world proficiency.
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Related reading
Environment
Every lab includes
- Real environment, pre-credentialed
- Automated checks on every step
- Isolated sandbox, auto cleanup
- AI-recommended next steps
Lab curriculum
- 01
Logging into Azure CLI
- 02
Explore the Cosmos DB Account and Container Setup
1 automated check
- 03
Write the Change Feed Trigger Function Code in the IDE
1 automated check
- 04
Deploy and Test the Change Feed Pipeline
1 automated check
- 05
Monitor Function Execution and Change Feed Processing
1 automated check
Skills validated
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