The kernel is shown at the top right of your Azure Machine Learning window.Your user files are stored separately from the VM and are shared among all compute instances in the workspace. Only you can see and use the compute instances you create.For more information, see Run a notebook in the Azure Machine Learning studio. If your compute instance is stopped, make sure to start it.If you're creating a new compute instance in order to test your notebooks, create your compute instance with the General Purpose category.If you don't have a compute instance, create a new one.For more information, see Launch a notebook in your Azure Machine Learning workspace.Īt the top of the page in your Azure Machine Learning workspace, select a Compute instance to use for your notebook server. The notebook opens in your Azure Machine Learning workspace, from inside Microsoft Sentinel. Select your Azure Machine Learning workspace.Īfter your notebook is deployed, select Launch Notebook. In the Clone notebook pane, change the notebook name as appropriate. Select Create from template at the bottom right-hand side of the page. Select the Azure Synapse - Detect potential network beaconing using Apache Spark notebook. Launch a notebookįind a notebook template to save a copy to your Azure Machine Learning workspace.Įnter Synapse in the search bar to find the notebook. Use this built-in notebook as a template and modify it for your organization's needs. Get started with hunting by using the built-in notebook Azure Synapse - Detect potential network beaconing using Apache Spark. Hunt by using a notebook with a sample security scenario Export historical log data from Microsoft Sentinel for big data analytics.Set up continuous data export from Log Analytics.To hunt on large datasets, also consider the following optional tasks: Configure your Azure Synapse Analytics integration.Connect to an Azure Machine Learning workspace.Review the required roles and permissions.If you haven't already, you'll need to complete the following tasks: Use the notebook as a template for a real-world, sample security scenario. ![]() Get started with big data hunting in Microsoft Sentinel by using a built-in notebook that uses Azure Synapse Analytics.
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