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Sep 24, 2019
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Add documentation on the preview ADB linking experience #580

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add linking docs
akshaya-a Sep 18, 2019
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add the word mlflow
akshaya-a Sep 18, 2019
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address PR feedback
akshaya-a Sep 18, 2019
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add the word mlflow
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@akshaya-a
akshaya-a committed Sep 18, 2019
commit ce635ce4fe35554b7079112871dd22289e330a47
2 changes: 1 addition & 1 deletion how-to-use-azureml/azure-databricks/README.md
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Expand Up @@ -25,7 +25,7 @@ Learn more about [how to use Azure Databricks as a development environment](http
You can use Azure Databricks as a compute target from [Azure Machine Learning Pipelines](https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-ml-pipelines). Take a look at this notebook for details: [aml-pipelines-use-databricks-as-compute-target.ipynb](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/azure-databricks/databricks-as-remote-compute-target/aml-pipelines-use-databricks-as-compute-target.ipynb).

# Linked Azure Databricks and Azure ML Workspaces (Preview)
Customers can now link Azure Databricks and AzureML Workspaces to better enable MLOps scenarios by managing their tracking data in a single place - the Azure ML workspace.
Customers can now link Azure Databricks and AzureML Workspaces to better enable MLOps scenarios by [managing their tracking data in a single place when using the MLflow client](https://mlflow.org/docs/latest/tracking.html#mlflow-tracking) - the Azure ML workspace.

## Linking the Workspaces (Admin operation)

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