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articles/data-factory/continuous-integration-delivery.md

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[!INCLUDE[appliesto-adf-xxx-md](includes/appliesto-adf-xxx-md.md)]
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Continuous integration is the practice of testing each change made to your codebase automatically and as early as possible.Continuous delivery follows the testing that happens during continuous integration and pushes changes to a staging or production system.
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Continuous integration is the practice of testing each change made to your codebase automatically and as early as possible. Continuous delivery follows the testing that happens during continuous integration and pushes changes to a staging or production system.
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In Azure Data Factory, continuous integration and delivery (CI/CD) means moving Data Factory pipelines from one environment (development, test, production) to another. Azure Data Factory utilizes [Azure Resource Manager templates](../azure-resource-manager/templates/overview.md) to store the configuration of your various ADF entities (pipelines, datasets, data flows, and so on). There are two suggested methods to promote a data factory to another environment:
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- [Use custom parameters with a Resource Manager template](continuous-integration-delivery-resource-manager-custom-parameters.md)
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- [Linked Resource Manager templates](continuous-integration-delivery-linked-templates.md)
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- [Using a hotfix production environment](continuous-integration-delivery-hotfix-environment.md)
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- [Sample pre- and post-deployment script](continuous-integration-delivery-sample-script.md)
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- [Sample pre- and post-deployment script](continuous-integration-delivery-sample-script.md)

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