Run Teradata Jupyter Notebook Demos for VantageCloud Lake in Microsoft Azure
Overview
This quickstart details the process for running the Teradata Jupyter Notebook Demos for VantageCloud Lake, on Microsoft Azure.
Prerequisites
- Access to a Microsoft Azure account
- Access to a VantageCloud Lake environment
Microsoft Azure setup
In this section we will cover in detail each of the steps below:
- Create a Microsoft Azure Web App based on Teradata Jupyter Lab extensions Docker image
- Configure Jupyter Lab extensions Azure Web App
- Load Vantagecloud Lake demos to Jupyter Lab extensions Azure Web App
- Find the IP of the Jupyter Lab extensions Azure Web App
Create a Microsoft Azure Web App based on Teradata Jupyter Lab extensions Docker image
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Login to Microsoft Azure and click on "APP Services"
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In "App Services" click Web App
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On the "Basics" tab:
- Select the appropriate resource group from the dropdown, or create a new one
- Enter a name for your web app.
- Select "Docker Container" in the "Publish" radio button options
- Select "Linux" as the operating system
- Select the appropriate region from the dropdown
- Select the appropriate App Service plan. If you don't have one, a new one will be created with default configurations
팁For purposes of the VantageCloud Lake demo redundancy is not needed
- After completing this tab, click the "Docker" tab to continue
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On the "Docker" tab:
- Select "Single Container" from the dropdown
- In the "Image Source" dropdown select "Docker Hub"
- In the "Access Type" dropdown select "Public"
- In "Image and tag" type
teradata/jupyterlab-extensions:latest
팁A startup command is not needed for this App Service
- Select the "Review + Create" tab to continue
- In the "Review + Create" tab click the "Create" button
- When the deployment is complete click the "Go to Resource" button