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Copy file name to clipboardExpand all lines: samples/features/sql-big-data-cluster/deployment/kubeadm/README.md
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1. Execute [ubuntu/setup-k8s-master.sh](ubuntu/setup-k8s-master.sh/) script on the machine designated as Kubernetes master
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1. After successful initialization of the Kubernetes master, follow the kubeadm join commands output by the setup script on each agent machine
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1. Execute [ubuntu/setup-volumes.sh](ubuntu/setup-volumes.sh/) script on each agent machine to create volumes for local storage
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1. Execute ***kubectl apply -f ubuntu/local-storage-provisioner.yaml*** against the Kubernetes cluster to create the local storage provisioner. You can now use persistent volumes by setting the USE_PERSISTENT_VOLUME environment variable to ***true** and STORAGE_CLASS_NAME environment variable to ***local-storage*** during deployment
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1. Execute ***kubectl apply -f ubuntu/local-storage-provisioner.yaml*** against the Kubernetes cluster to create the local storage provisioner. You can now use persistent volumes by setting the USE_PERSISTENT_VOLUME environment variable to ***true*** and STORAGE_CLASS_NAME environment variable to ***local-storage*** during deployment
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1. Now, you can deploy the SQL Server 2019 big data cluster following instructions [here](https://docs.microsoft.com/en-us/sql/big-data-cluster/deployment-guidance?view=sqlallproducts-allversions)
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