What are recommended performance practices when using SAP HANA?

Defining indexes on the columns used in calculations is a recommended performance practice when using SAP HANA. Indexes are essential for optimizing query performance, especially for columns that are frequently used in calculations, filters, or joins. By creating indexes on these key columns, the database engine can more efficiently locate and access the relevant data, reducing the time it takes to process queries and perform calculations. In a high-performance environment like SAP HANA, where speed and efficiency are paramount, proper indexing strategies can have a significant positive impact on overall performance.

In contrast, transferring large result sets frequently can lead to latency and bandwidth issues, negatively impacting performance. Filtering data in upper layers may also not be optimal, as it could involve processing unnecessary data upfront rather than optimizing it within the database. Moving analytics to the database layer, while beneficial by allowing for in-memory processing and reducing data movement, does not relate specifically to the question about defining indexes, which is a direct action with immediate effects on query performance.