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Merge pull request #212940 from sdgilley/sdg-migration
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articles/machine-learning/migrate-to-v2-execution-pipeline.md

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title: Migrate pipelines from SDK v1 to SDK v2
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title: Upgrade pipelines to SDK v2
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titleSuffix: Azure Machine Learning
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description: Migrate pipelines from v1 to v2 of Azure Machine Learning SDK
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description: Upgrade pipelines from v1 to v2 of Azure Machine Learning SDK
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: core
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ms.custom: migration
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---
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# Migrate pipelines from SDK v1 to SDK v2
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# Upgrade pipelines to SDK v2
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In SDK v2, "pipelines" are consolidated into jobs.
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articles/machine-learning/migrate-to-v2-local-runs.md

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title: Migrate local runs from SDK v1 to SDK v2
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title: Upgrade local runs to SDK v2
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titleSuffix: Azure Machine Learning
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description: Migrate local runs from v1 to v2 of Azure Machine Learning SDK
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description: Upgrade local runs from v1 to v2 of Azure Machine Learning SDK
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: core
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ms.custom: migration
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---
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# Migrate local runs from SDK v1 to SDK v2
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# Upgrade local runs to SDK v2
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Local runs are similar in both V1 and V2. Use the "local" string when setting the compute target in either version.
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articles/machine-learning/migrate-to-v2-resource-compute.md

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title: 'Migrate compute management from SDK v1 to v2'
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title: 'Upgrade compute management to v2'
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titleSuffix: Azure Machine Learning
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description: Migrate compute management from v1 to v2 of Azure Machine Learning SDK
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description: Upgrade compute management from v1 to v2 of Azure Machine Learning SDK
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: mldata
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ms.custom: migration
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---
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# Migrate compute management from SDK v1 to v2
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# Upgrade compute management to v2
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The compute management functionally remains unchanged with the v2 development platform.
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articles/machine-learning/migrate-to-v2-resource-datastore.md

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title: Migrate datastore management from SDK v1 to SDK v2
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title: Upgrade datastore management to SDK v2
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titleSuffix: Azure Machine Learning
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description: Migrate datastore management from v1 to v2 of Azure Machine Learning SDK
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description: Upgrade datastore management from v1 to v2 of Azure Machine Learning SDK
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: core
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ms.custom: migration
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---
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# Migrate datastore management from SDK v1 to SDK v2
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# Upgrade datastore management to SDK v2
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Azure Machine Learning Datastores securely keep the connection information to your data storage on Azure, so you don't have to code it in your scripts. V2 Datastore concept remains mostly unchanged compared with V1. The difference is we won't support SQL-like data sources via AzureML Datastores. We'll support SQL-like data sources via AzureML data import&export functionalities.
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articles/machine-learning/migrate-to-v2-resource-workspace.md

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title: Migrate workspace management from SDK v1 to SDK v2
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title: Upgrade workspace management to SDK v2
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titleSuffix: Azure Machine Learning
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description: Migrate workspace management from v1 to v2 of Azure Machine Learning SDK
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description: Upgrade workspace management from v1 to v2 of Azure Machine Learning SDK
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services: machine-learning
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ms.service: machine-learning
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ms.subservice: core
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ms.custom: migration
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# Migrate workspace management from SDK v1 to SDK v2
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# Upgrade workspace management to SDK v2
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The workspace functionally remains unchanged with the V2 development platform. However, there are network-related changes to be aware of. For details, see [Network Isolation Change with Our New API Platform on Azure Resource Manager](how-to-configure-network-isolation-with-v2.md?tabs=python)
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