Incremental partition processing with changing dimensions?

today i tried out an incremental processing technique on my cube. I have a partition by date which had 100 rows and an account dimension which had 50 rows.
i executed a process full and then added 10 rows to the fact and modified 2 rows in the dimension as well as adding 10 rows to the dimension...
i imagined that I could just do a process full on the dimension and process update on the partition, but upon doing that my cube was in an "unprocessed" state so i had to perform a process full...is there something i did wrong or do updates to dimensions
require full rebuilds of all partitions?
this was just an example on small data sets. in reality i have 20+ partitions and 500m rows in the fact table and 90m in the dimension.
thanks in advance!
Craig

".. i imagined that I could just do a process full on the dimension and process update on the partition, but upon doing that my cube was in an "unprocessed" state so i had to perform a process full .." - try doing a ProcessUpdate on the dimension
instead. This paper explains the difference:
Analysis Services 2005 Processing Architecture
ProcessUpdate applies only to dimensions. It is the equivalent of incremental dimension processing in Analysis Services 2000. It sends SQL queries to read the entire dimension table and applies the changes—member updates, additions,
deletions.
Since ProcessUpdate reads the entire dimension table, it begs the question, "How is it different from ProcessFull?" The difference is that ProcessUpdate does not discard the dimension storage contents. It applies the changes in a "smart" manner that
preserves the fact data in dependent partitions. ProcessFull, on the other hand, does an implicit ProcessClear on all dependent partitions. ProcessUpdate is inherently slower than ProcessFull since it is doing additional work to apply the changes.
Depending on the nature of the changes in the dimension table, ProcessUpdate can affect dependent partitions. If only new members were added, then the partitions are not affected. But if members were deleted or if member relationships changed (e.g.,
a Customer moved from Redmond to Seattle), then some of the aggregation data and bitmap indexes on the partitions are dropped. The cube is still available for queries, albeit with lower performance.
- Deepak

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