Which rules should you consider when creating a table distribution plan for SAP Business Suite on SAP HANA?

When creating a table distribution plan for SAP Business Suite on SAP HANA, maintaining a lower number of partitioned tables is crucial for performance optimization. A lower number of partitioned tables helps in reducing complexity and overhead related to managing partitions. This simplification contributes to better performance during data access and query execution, as fewer partitions can often lead to more efficient use of system resources and simplified query processing paths.

By keeping partitioning to a minimum, you help ensure that data is more compactly stored and accessed in memory, leveraging HANA's strengths in in-memory processing and reducing potential bottlenecks that may arise from excessive partition management. This aligns with best practices in HANA implementations, which emphasize efficient design to maximize throughput and reduce latency in data handling.

In contrast, the other choices are not optimal for ensuring a successful table distribution plan. For example, having too many key columns or maximizing indexed columns can lead to increased overhead, which can negatively impact performance. Likewise, while minimizing foreign keys seems beneficial, it can create issues for maintaining data integrity and relationships, which is essential in transactional systems like SAP Business Suite.