Hi Josef,
Question 3 was about physical partitioning.(like info cube partition or DB2 MDC clustering)
Question 4 was about splitting data partially in-memory and remaining data in disk.
In general if we talk about multi-temperature memory strategy or dynamic tiering, we need to understand difference between Hot, warm and cold.
HOT data:
Data that is accessed very often used for reporting or for processes in Data Warehouse Management. (queries for InfoCubes, DataStore objects, Advanced DSO)
WARM data: ( Non active Data or Extended tables or EARLY UNLOAD)
This data is rarely accessed. (write-optimized DataStore or Persistent Staging Areas)
COLD data:( Near line storage or online archiving )
Data of a BW system that is no longer required and maintained for legal purpose, thent Nearline Storage can be used.
If the HANA server has sufficient main memory, then non-active data is available directly in the main memory. When there are bottlenecks in the main memory, it is preferably warm data is removed from the main memory and stored in the HANA disk.
In dynamic process it moves the content from memory to disk for the selected objects.
Cold Data deletes the data from HOT ( in-memory ) and writes to separate Sybase database. Once data is archived then reports can access the information without loaded the data back into main memory.
Thanks,
Shakthi Raj Natarajan