Let's get started with Big Data Analytics.
Can use this document to experiment with good example:
Configure Azure Kubernetes Service for SQL Server 2019 (preview) deployments
Logged on to Azure Portal using current Login:
It says to create a resource group using Bash:
Initiated a Bash shell window, it prompts to Create Storage:
So we've connected to Bash from within Azure Portal online window:
We're prompted to connect our Device and Login to Cross-Platform Command Line Interface in Azure:
Login to Azure Account:
az login az account list
--resource-group sqlbigdatagroup \
--location eastus \
--node-vm-size Standard_A2 \
--node-count 3 \
Proceed to enter commands in Bash, select our Subscription:
Set Account, then Created a Resource Group:
Next, attempt to Create a Kubernetes cluster:
We enter the command, it's Running...
Error. The type of VM we selected exceeds our capacity:
Looking at the Pricing Structure in Azure, we need to select a different plan option:
Tried a different plan, error still...
So we pick one from the available list "Standard A1", which may be Previous Generation, not sure exactly:
And so, the Bash command completed, Success! It generates a JSON which we copy and store in Notepad. It generated quite a lot of Services / Resources:
Next, we connect to our newly created Cluster:
az aks get-credentials --resource-group=sqlbigdatagroup --name kubcluster
Enter the command in Bash:
Next command, get kubectl nodes:
So we've completed the first step.
Download the CLI 2.0 for Azure:
Follow along for Step 2 of the process...