Many system performance factors—including those for OLAP Services—involve tradeoffs. If you tweak an operation to make it perform faster, you might pay for the speed with performance degradation elsewhere. With OLAP Services, performance tradeoffs occur between cube build time and query time. As I discuss various actions that can influence performance, such as setting up storage modes, setting the aggregation level, querying, partitioning, and using PivotTable Services, I'll point out how these actions affect cube build time and query time.