minor touch up
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changhow
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@ -39,16 +39,16 @@ Listed below are the service options that you should consider for each stage of
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### Service options
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| Stage | Service options |
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| ---------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Experimentation | [Azure Machine Learning Notebook VMs](https://azure.microsoft.com/blog/three-things-to-know-about-azure-machine-learning-notebook-vm/)<br>• [Databricks Notebooks](https://docs.databricks.com/notebooks/index.html)<br>• [Azure Machine Learning Experiment for Python SDK](https://docs.microsoft.com/en-us/python/api/overview/azure/ml/?view=azure-ml-py)<br>• [Azure Data Science Virtual Machine (DSVM)](https://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/) |
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| Overall Orchestration / Scheduling | [Azure Logic Apps](https://docs.microsoft.com/azure/logic-apps/logic-apps-overview)<br>• [Azure Data Factory](https://docs.microsoft.com/azure/data-factory/introduction)<br>• [Azure Machine Learning Pipelines](https://docs.microsoft.com/azure/machine-learning/concept-ml-pipelines)<br>• [Azure DevOps](https://docs.microsoft.com/azure/devops/) |
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| Data Transfer | [Azure Data Factory Copy Activity](https://docs.microsoft.com/azure/data-factory/copy-activity-overview)<br>• [Azure Machine Learning DataTransferStep](https://docs.microsoft.com/en-us/python/api/azureml-pipeline-steps/azureml.pipeline.steps.data_transfer_step.datatransferstep) |
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| Compute | [Databricks](https://docs.microsoft.com/azure/azure-databricks/what-is-azure-databricks)<br>• [Azure Machine Learning Compute](https://docs.microsoft.com/azure/machine-learning/concept-compute-instance) |
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| Tracking / Versioning options | Experiment/Hyper-tuning Tracking:<br>• [Azure Machine Learning Experiments](https://docs.microsoft.com/azure/machine-learning/studio/create-experiment)<br>• [Databricks and MLFLow Tracking](https://docs.databricks.com/applications/mlflow/quick-start.html)<br>• [Data Versioning/Data Drift: Azure Machine Learning Datasets](https://docs.microsoft.com/azure/machine-learning/how-to-version-track-datasets)<br>• Model Versioning:<br>• [Azure Machine Learning Model Management Service](https://docs.microsoft.com/azure/machine-learning/concept-model-management-and-deployment)<br>• [Databricks and MLFlow Model Registry](https://databricks.com/blog/2019/10/17/introducing-the-mlflow-model-registry.html) |
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| Model Training | [Azure Machine Learning Pipelines](https://docs.microsoft.com/azure/machine-learning/concept-ml-pipelines)<br>• [Databricks](https://docs.databricks.com/data/index.html) |
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| Model Deployment | [Batch Scoring in Azure Machine Learning Pipeline](https://docs.microsoft.com/azure/machine-learning/tutorial-pipeline-batch-scoring-classification)<br>• [Real-time Deployment in Azure Machine Learning Service](https://docs.microsoft.com/azure/machine-learning/how-to-deploy-and-where)<br>• [Azure Kubernetes Service (AKS)](https://docs.microsoft.com/azure/aks/intro-kubernetes)<br>• [Azure Container Instance](https://docs.microsoft.com/azure/container-instances/)<br>• [Azure App Service](https://docs.microsoft.com/azure/app-service/)<br>• [Azure Functions](https://docs.microsoft.com/azure/azure-functions/)<br>• [IoT Edge](https://docs.microsoft.com/azure/iot-edge/about-iot-edge)<br>• [Azure Machine Learning Model Deployment](https://docs.microsoft.com/azure/machine-learning/how-to-deploy-and-where) |
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| Monitoring | [Azure Monitor](https://docs.microsoft.com/azure/azure-monitor/overview)<br>• [Application Insights](https://docs.microsoft.com/azure/azure-monitor/app/app-insights-overview)<br>• [Azure Dashboards](https://docs.microsoft.com/azure/azure-monitor/learn/tutorial-app-dashboards)[Power BI](https://docs.microsoft.com/en-us/power-bi/connect-data/power-bi/service-azure-and-power-bi) |
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| Stage | Service options |
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| ---------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Experimentation | • [Azure Machine Learning Notebook VMs](https://azure.microsoft.com/blog/three-things-to-know-about-azure-machine-learning-notebook-vm/)<br>• [Databricks Notebooks](https://docs.databricks.com/notebooks/index.html)<br>• [Azure Machine Learning Experiment for Python SDK](https://docs.microsoft.com/en-us/python/api/overview/azure/ml/?view=azure-ml-py)<br>• [Azure Data Science Virtual Machine (DSVM)](https://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/) |
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| Overall Orchestration / Scheduling | • [Azure Logic Apps](https://docs.microsoft.com/azure/logic-apps/logic-apps-overview)<br>• [Azure Data Factory](https://docs.microsoft.com/azure/data-factory/introduction)<br>• [Azure Machine Learning Pipelines](https://docs.microsoft.com/azure/machine-learning/concept-ml-pipelines)<br>• [Azure DevOps](https://docs.microsoft.com/azure/devops/) |
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| Data Transfer | • [Azure Data Factory Copy Activity](https://docs.microsoft.com/azure/data-factory/copy-activity-overview)<br>• [Azure Machine Learning DataTransferStep](https://docs.microsoft.com/en-us/python/api/azureml-pipeline-steps/azureml.pipeline.steps.data_transfer_step.datatransferstep) |
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| Compute | • [Databricks](https://docs.microsoft.com/azure/azure-databricks/what-is-azure-databricks)<br>• [Azure Machine Learning Compute](https://docs.microsoft.com/azure/machine-learning/concept-compute-instance) |
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| Tracking / Versioning options | Experiment/Hyper-tuning Tracking:<br>• [Azure Machine Learning Experiments](https://docs.microsoft.com/azure/machine-learning/studio/create-experiment)<br>• [Databricks and MLFLow Tracking](https://docs.databricks.com/applications/mlflow/quick-start.html)<br>• [Data Versioning/Data Drift: Azure Machine Learning Datasets](https://docs.microsoft.com/azure/machine-learning/how-to-version-track-datasets)<br>Model Versioning:<br>• [Azure Machine Learning Model Management Service](https://docs.microsoft.com/azure/machine-learning/concept-model-management-and-deployment)<br>• [Databricks and MLFlow Model Registry](https://databricks.com/blog/2019/10/17/introducing-the-mlflow-model-registry.html) |
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| Model Training | • [Azure Machine Learning Pipelines](https://docs.microsoft.com/azure/machine-learning/concept-ml-pipelines)<br>• [Databricks](https://docs.databricks.com/data/index.html) |
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| Model Deployment | • [Batch Scoring in Azure Machine Learning Pipeline](https://docs.microsoft.com/azure/machine-learning/tutorial-pipeline-batch-scoring-classification)<br>• [Real-time Deployment in Azure Machine Learning Service](https://docs.microsoft.com/azure/machine-learning/how-to-deploy-and-where)<br>• [Azure Kubernetes Service (AKS)](https://docs.microsoft.com/azure/aks/intro-kubernetes)<br>• [Azure Container Instance](https://docs.microsoft.com/azure/container-instances/)<br>• [Azure App Service](https://docs.microsoft.com/azure/app-service/)<br>• [Azure Functions](https://docs.microsoft.com/azure/azure-functions/)<br>• [IoT Edge](https://docs.microsoft.com/azure/iot-edge/about-iot-edge)<br>• [Azure Machine Learning Model Deployment](https://docs.microsoft.com/azure/machine-learning/how-to-deploy-and-where) |
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| Monitoring | • [Azure Monitor](https://docs.microsoft.com/azure/azure-monitor/overview)<br>• [Application Insights](https://docs.microsoft.com/azure/azure-monitor/app/app-insights-overview)<br>• [Azure Dashboards](https://docs.microsoft.com/azure/azure-monitor/learn/tutorial-app-dashboards)[Power BI](https://docs.microsoft.com/en-us/power-bi/connect-data/power-bi/service-azure-and-power-bi) |
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## Use No Code or Code implementation approach
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@ -140,11 +140,11 @@ This table adds scheduling options to the triggers.
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### Tracking and Versioning options
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| Type | Description |
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| -------------------------------- | ----------------------------------------------------------------------------------------- |
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| Experiment/Hyper-tuning Tracking | Azure Machine Learning Experiments<br>• Databricks and MLFLow Tracking |
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| Data Versioning/Data Drift | Azure Machine Learning Datasets |
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| Model Versioning | Azure Machine Learning Model Management Service<br>• Databricks and MLFlow Model Registry |
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| Type | Description |
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| -------------------------------- | ------------------------------------------------------------------------------------------- |
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| Experiment/Hyper-tuning Tracking | • Azure Machine Learning Experiments<br>• Databricks and MLFLow Tracking |
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| Data Versioning/Data Drift | • Azure Machine Learning Datasets |
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| Model Versioning | • Azure Machine Learning Model Management Service<br>• Databricks and MLFlow Model Registry |
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### Model Training options
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@ -155,14 +155,14 @@ This table adds scheduling options to the triggers.
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### Model deployment options
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| Type | Description |
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| ------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Batch Scoring in Azure Machine Learning Pipeline | Batch Deployment and Scoring in Azure Machine Learning Pipeline |
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| Real-time Deployment in Azure Machine Learning Service | Azure Machine Learning Service supports real-time deployment and scoring using:<br>• AKS<br>• Azure Container Instance<br>• Azure App Service<br>• Azure Functions<br>• IoT Edge<br>• and more<br>• |
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| Type | Description |
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| ------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| Batch Scoring in Azure Machine Learning Pipeline | Batch Deployment and Scoring in Azure Machine Learning Pipeline |
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| Real-time Deployment in Azure Machine Learning Service | Azure Machine Learning Service supports real-time deployment and scoring using:<br>• AKS<br>• Azure Container Instance<br>• Azure App Service<br>• Azure Functions<br>• IoT Edge<br>• and more ... |
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### Monitoring options
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| Type | Description |
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| ------------- | ------------------------------------------ |
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| Azure Monitor | Application Insights<br>• Azure Dashboards |
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| Power BI | Analytics and Reports |
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| Type | Description |
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| ------------- | -------------------------------------------- |
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| Azure Monitor | • Application Insights<br>• Azure Dashboards |
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| Power BI | Analytics and Reports |
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