Manual Installation of BigDL on the DSVM Provisioning DSVMīefore you start, you need to provision the Microsoft Data Science Virtual Machine for Linux (Ubuntu) by visiting the Azure product detail page and following the directions in the VM creation wizard. Please note: For ease of use, we suggest selecting the password option rather than the SSH option in the DSVM provisioning prompt.įor completeness, we also provide, below, the manual, step-by-step installation procedure to create the data science steps in case you already have a DSVM (Ubuntu) instance, or just want to understand the details of what the automated steps do, above. Note: It may take as long as 10 minutes to fully provision DSVM-perfect time for a coffee break! The user can directly run /opt/BigDL/run_notebooks.sh to start a Jupyter* notebook server to execute the samples. On Github*, we have published the Azure Resource Manager (ARM) template and the script to install BigDL on the DSVM for Linux (Ubuntu) when creating the VM on Azure.Ĭlicking the Deploy to Azure button takes the user to the Azure portal wizard, leads them through the VM creation process, and automatically executes the necessary script to install/configure BigDL so that it is ready for use once the VM is successfully provisioned. This button encapsulates all the necessary installation steps to create a new Azure* DSVM and installs BigDL after the virtual machine (VM) is provisioned.Īzure Virtual Machines provide a mechanism to automatically run a script during post provisioning when using Azure Resource Manager (ARM) templates. To make it easier to deploy BigDL, we created a "Deploy to Azure" button on top of the Linux* (Ubuntu*) edition of the Data Science Virtual Machine (DSVM). Automated Installation of BigDL Using Deploy to Azure*
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