This is , probably, a super general question, but I anyway asking.
What are general performance-oriented recommendations, when dealing with spark-connector?
And that in a context of machine-learning, assuming that Cassandra is a storage of data, containing features.
And , is Cassandra appropriate to store such data?
Is there data model best practices?
Should I use a separate column for each feature?
Or should I keep features as a map in some column?
Is there best practices around cassandra and machine learning?