What are the data modeling best practices for Enterprise Data Warehouses now that query performance and data redundancy are not a major factor when leveraging SAP HANA?
There has been two dominant data modeling practices to address Enterprise Data Warehouses, the first using transactional 3NF data structures and the second using Kimball's Conformed Dimensions and both of these at an atomic, consistent, and durable manner.
Since SAP HANA in-memory processing greatly reduces the need for a cost based optimizer and basically eliminating the need for data access query optimization via optimizer hints, and the need to pre-aggregate what method of data modeling will take greater advantage of the new database architecture?
Please advise,
Paul