Remove all the partitions and store the entire dataset in a single partition to simplify management, despite potential scalability issues.

Analyze the partitions to identify inefficiencies and refactor them using more efficient partitioning strategies and keys, ensuring the solution is scalable and cost-effective.

Disable the automatic processing of the partitions to reduce initial processing time, and manually process them as needed, accepting the trade-off in usability.

Increase the memory allocation for the semantic model processing engine to handle the complex partitions, without addressing the underlying partitioning strategy.