The question is too vague to suggest you a configuration which ultimately depends on your workload. This article would be a good starting point.

https://medium.com/microsoftazure/azure-databricks-workload-types-data-analytics-data-engineering-an...

Analytics work as in querying and analyzing data? Preferably using Databricks SQL? If so, then a SQL Warehouse is your best friend.