Focus on partitioning based on the data's size, as this is the most critical factor for data warehouse performance.

Implement a partition strategy based on the data's natural partition key, such as customer ID or product category, to improve query performance and reduce the amount of data scanned.

Use a round-robin partitioning method to distribute the data evenly across multiple partitions, regardless of the data's characteristics.

Do not implement any partition strategy, as it is not necessary for data warehouse performance in Azure Synapse Analytics.