Apache Spark with Kafka: do I need multiple servers for a customer hosted solution?

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I'm new with both Spark and Kafka...

I need to create an event listener and then process the data to feed a Power Bi report. The solution would be customer hosted in their Azure environment, so I'm wondering if a local configuration could do or if I need to use a cluster. I would like to keep things as simple as possible.

How many servers would I need as a minimum? The amount of data to process would be around 200Gb per year.

Also, is there a recommended way to deploy the solution to the customer's tenant? It's only purpose would be to work in the backend to get notifications and process the data with Spark.

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