Partitioning is useful for handling large datasets where it is impractical to reprocess the entire Measure Group. In such a case the full process option would probably be chosen but only selected partitions would be processed. See the section on partitioning for more information. The default process will perform a full process on the first pass followed by incremental updates on subsequent processing runs. Care should be taken when choosing default for the cube.