Review, Acrolynx, Learn Linter

Author: spelluru

articles/stream-analytics/cicd-overview.md

@@ -1,16 +1,17 @@
 ---
-title: Continuous integration and continuous deployment of Azure Stream Analytics jobs
+title: Continuous integration and continuous deployment
 description: This article gives an overview of setting up a continuous integration and deployment (CI/CD) pipeline for Azure Stream Analytics jobs.
 author: alexlzx
 ms.author: zhenxilin
 ms.service: azure-stream-analytics
 ms.topic: how-to
-ms.date: 05/24/2023
+ms.date: 01/23/2025
+# Customer intent: As a developer, I want to learn how to set up a CI/CD pipeline for Azure Stream Analytics jobs. 
 ---
 
 # Continuous integration and continuous deployment (CI/CD) of Stream Analytics jobs
 
-You can build, test and deploy your Azure Stream Analytics (ASA) job using a source control integration. Source control integration creates a workflow in which updating code would trigger a resource deployment to Azure. This article outlines the basic steps for creating a continuous integration and continuous delivery (CI/CD) pipeline.
+You can build, test, and deploy your Azure Stream Analytics (ASA) job using a source control integration. Source control integration creates a workflow in which updating code would trigger a resource deployment to Azure. This article outlines the basic steps for creating a continuous integration and continuous delivery (CI/CD) pipeline.
 
 ## Create a CI/CD pipeline
 
@@ -32,7 +33,7 @@ Follow the steps to create a CI/CD pipeline for your Stream Analytics project:
 
 You can use the command line and [Azure Stream Analytics CI/CD tools](cicd-tools.md) to auto build, test, and deploy. You can also set up a CI/CD pipeline in [Azure Pipelines](set-up-cicd-pipeline.md). Azure Pipelines to enable more advanced capabilities, such as pipeline management, visualization, and triggers.
 
-## Next steps
+## Related content
 
-* [Automate builds, tests and deployments of an Azure Stream Analytics job using CI/CD tools](cicd-tools.md)
+* [Automate builds, tests, and deployments of an Azure Stream Analytics job using CI/CD tools](cicd-tools.md)
 * [Set up a CI/CD pipeline for Stream Analytics job using Azure Pipelines](set-up-cicd-pipeline.md)