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Merge pull request #11773 from MikeRayMSFT/azdata-msi
Clean-up installer
2 parents 858f961 + e75907b commit 2790ab1

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.openpublishing.redirection.json

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docs/big-data-cluster/deploy-install-azdata-installer.md

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docs/big-data-cluster/deploy-install-azdata-linux-package.md

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The package managers are designed for various operating systems and distributions.
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- For Windows, [install `azdata` with the Microsoft Windows Installer](./deploy-install-azdata-installer.md)
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- For Linux (Ubuntu), [install `azdata` with `apt`](#azdata-apt)
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At this time, there are no package managers to install `azdata` on other operating systems or distributions. For these platforms, see [Install `azdata` without package manager](./deploy-install-azdata.md).

docs/big-data-cluster/deploy-install-azdata.md

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This article describes how to install the `azdata` tool for the release candidate on Windows or Linux using `pip`.
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For Windows and Linux (Ubuntu distribution), you can install with a [package manager](./deploy-install-azdata-installer.md) for a simpler experience.
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## <a id="prerequisites"></a> Prerequisites
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`azdata` is a command-line utility written in Python that enables cluster administrators to bootstrap and manage the big data cluster via REST APIs. The minimum Python version required is v3.5. You must also have `pip` that is used to download and install `azdata` tool. The instructions below provide examples for Windows and Ubuntu. For installing Python on other platforms, see the [Python documentation](https://wiki.python.org/moin/BeginnersGuide/Download).

docs/big-data-cluster/manage-with-controller-dashboard.md

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In addition to above, SQL Server 2019 Big Data Cluster also requires:
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* **azdata**
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- [Windows installer](deploy-install-azdata-installer.md)
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- [Linux package manager](deploy-install-azdata-linux-package.md)
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* [kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl/#install-kubectl-binary-using-native-package-management)
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* [Azure CLI](/cli/azure/install-azure-cli)

docs/big-data-cluster/release-notes-big-data-cluster.md

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|New feature or update | Details |
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|:---|:---|
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|SQL Server Always On Availability Group |When you deploy a SQL Server Big Data Cluster, you can configure the deployment to create an availability group to provide:<br/><br/>- High availability <br/><br/>- Read-scale out <br/><br/>- Scale-out data insertion into data pool<br/><br>See [Deploy with high availability](../big-data-cluster/deployment-high-availability.md). |
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|`azdata` |Simplified installation for the tool with [installation manager](./deploy-install-azdata-installer.md)<br/><br/>[`azdata notebook` command](./reference-azdata-notebook.md)<br/><br/>[`azdata bdc status` command](./reference-azdata-bdc-status.md) |
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|`azdata` |Simplified installation for the tool with [installation manager](./deploy-install-azdata-linux-package.md)<br/><br/>[`azdata notebook` command](./reference-azdata-notebook.md)<br/><br/>[`azdata bdc status` command](./reference-azdata-bdc-status.md) |
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|Azure Data Studio|[Download the Release Candidate build of Azure Data Studio](deploy-big-data-tools.md#download-and-install-azure-data-studio-sql-server-2019-release-candidate-rc).<br/><br/>Added troubleshooting notebooks through SQL Server 2019 guide Jupyter Book.<br/><br/>Added controller login experience.<br/><br/>Added controller dashboard to view service endpoints, view cluster health status, and access troubleshooting notebooks.<br/><br/>Improved notebook cell output/editing performance.|
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| &nbsp; | &nbsp; |
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docs/toc.yml

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href: big-data-cluster/deploy-big-data-tools.md
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- name: Install azdata
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items:
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- name: With Windows Installer
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href: big-data-cluster/deploy-install-azdata-installer.md
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- name: With Linux package manager
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href: big-data-cluster/deploy-install-azdata-linux-package.md
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- name: With pip

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