A.Minimize the transfer of data between the execution engines.

B.Perform calculation before aggregation in your analytic views.

C.Investigate partitioning of large tables.

D.Apply filters as late as possible.

E.Push down aggregations to SAP HANA.

A.Use multicore CPU parallelism

B.Use ZIP compression

C.Store data in column tables

D.Eliminate indices

E.Use dictionary compression

A.Supply reporting tools with all the data in one transfer.

B.Implement union pruning conditions.

C.Build single large views.

D.Output as many fields as possible.

A.Your column tables' delta store is frequently larger than its main store.

B.Your stacked model consists of multiple calculation views.

C.you have a larger column store table that is consumed in a view with a variable on COUNTRY column.

D.You have a large row store table that is consumed in view with a variable on COUNTRY column.

A.Microsoft Excel

B.SAP Lumira, discovery edition

C.SAP Analysis for Microsoft Office

D.SAP Lumira, designer edition