This GitHub repo exists to get you ready for the Cortana Intelligence End-to-End Workshop.
- Deploy workshop environment to Azure
This GitHub repo can deploy the assets to Azure needed to complete the Cortana Intelligence Workshop.
This particular ARM template will deploy the following resources into a new Resource Group:
- An HDInsight Spark cluster with 2 worker nodes.
- An Azure ML Workspace. After the deployment is completed, you can go to https://studio.azureml.net/ and view your workspace. You will need to sign in with the same account that you use to sign in to Azure.
- A Windows 2012 R2 VM that will act as a Lab VM where you will run the Data Factory Data Management Gateway and Power BI Desktop. This VM is basically a workstation for you so you do not have to install software on your personal/work device.
- Supporting resources - both the Spark cluster and the Lab VM need a few requisite resources in order to operate such as storage accounts, networks, a public IP, etc.
All you need to do is click the "Deploy to Azure" button below and fill out the following parameters in Azure. NOTE: you will want to be signed in to your Azure subscription before clicking the button below.
When you click the "Deploy to Azure" button, you will be taken to the Azure portal and presented with a form for a new custom deployment (which uses the ARM template in this GitHub repo). You will be presented with a blade to provide some custom parameters.
- Subscription - Select the subscription you wish to use for the workshop.
- Resource Group - Create a new resource group and give it a globally unique name.
- Location - This is the location of your Resource Group.
- App Name - This should be a short (10 or fewer characters), but unique string that will be a prefix to all of the resources deployed. For example, if you type in smithcis, your Spark cluster will be called smithcisspark and your Lab VM will be called smithcislab.
- Deployment Location - The default deployment location for the resources needed for the workshop.
The credentials for accessing the VM and the Spark Cluster are:
Userid: cortana
PWD: Password.1!!
Deploy with a point-to-site VPN (Attention!: to use only if you are behind a company firewall or proxy. No guarantees it works depending by company policies.)
After the deployment you need to install this client certificate in your certificate store using Pwd: cortanademo
After that you need to download the VPN client from Azure in the blade of the Virtual Network Gateway in section "Point-to-Site configuration" clicking on the menu "Download VPN client".