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Copy file name to clipboardExpand all lines: samples/features/sql-big-data-cluster/deployment/README.md
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SQL Server 2019 big data cluster is deployed as docker containers on a Kubernetes cluster. These samples provide scripts that can be used to provision a Kubernetes clusters using different environments.
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## Deploy a Kubernetes cluster using kubeadm
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## __[Deploy a Kubernetes cluster using kubeadm](kubeadm/)__
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Use the scripts in the **kubeadm** folder to deploy a Kubernetes cluster over one or more Linux machines (physical or virtualized) using `kubeadm` utility.
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## Deploy a SQL Server big data cluster on Azure Kubernetes Service (AKS)
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## __[Deploy a SQL Server big data cluster on Azure Kubernetes Service (AKS)](aks/)__
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Using the sample Python script in **aks** folder, you will deploy a Kubernetes cluster in Azure using AKS and a SQL Server big data cluster using on top of it.
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## Push SQL Server big data cluster images to your own private Docker repository
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## __[Push SQL Server big data cluster images to your own private Docker repository](offline/)__
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Using the sample Python script in **offline** folder, you will push the necessary images required for the deployment to your own repository.
Copy file name to clipboardExpand all lines: samples/features/sql-big-data-cluster/deployment/kubeadm/ubuntu-single-node-vm/README.md
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## Pre-requisites
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1. A vanilla Ubuntu 16.04 or 18.04 VM. All dependencies will be setup by the script. Using Azure Linux VMs is not yet supported.
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1. VM should have at least 8CPUs, 64GB RAM and 100GB disk space.After installing the images you will be left with 50GB for data/logs across all components.
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1. VM should have at least 8 CPUs, 64GB RAM and 100GB disk space.After installing the images you will be left with 50GB for data/logs across all components.
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## Instructions
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1. Download the script on the VM you are planning to use for the deployment
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