[Documentation or example code Request]: Read from Azure EventHubs not involving Kafka surface

**Is your feature request related to a problem? Please describe.**
This is a documentation or a source code [sample](https://github.com/dotnet/spark/tree/main/examples/Microsoft.Spark.CSharp.Examples/Sql/Streaming) request. Current [documentation](https://docs.microsoft.com/en-us/dotnet/spark/how-to-guides/connect-to-event-hub) to read from EventHubs rely on Kafka surface.

**Describe the solution you'd like**
A clean document or example code involving learnings from #325, #933 etc

**Describe alternatives you've considered**
I went through issue like #325, #933, #940. With some time and effort, maybe they are good enough. But that is not an ideal starter experience with this library. Previous requests of this nature like #148, were answered with pleasant do it yourself replies. But again, that is not a good starter experience.

**Additional context**
A low percentage of people using this .NET library might come directly from Azure and not from Big data world . They might not be comfortable with Kafka parameters. Also it does not feel natural to use Kafka params to connect to Azure EventHub.

_{Unrelated and of lesser importance, the [documentation](https://docs.microsoft.com/en-us/dotnet/spark/tutorials/databricks-deployment#download-worker-dependencies) looks dated with 2020 version numbers and screenshots. This given an impression that project may go out of support}