Processing cube on server taking too long, what can I do?

I have a fact table that has 22 million rows and 16 columns.
When I process it locally in Visual Studio, it completes in a reasonable time, about 40mins.
However when I use the Integration Catalog services and deploy the processing.
It takes about 6 hours.
I have now broken it into 5 partitions using a date field, each partition has about 5 million rows.
I have changed the cube datasource connection from native to OLEDB, I read this could improve performance up to 30%.
I also set the partition to process data.
Yet when I try to process a single partition in my local visual studio on a remote server it is still taking a very long time.
I even restarted the SQL server and Analysis Services to clear all the data from memory.
At the moment it has taken 30 mins, and is only at 410, 000.
When I log on to the server, I can see very little CPU activity, 1% SQL Server and 0% Analysis Services.
The server only has 16GB of ram and its currently using 11GB for SQL Server and 1GB for Analysis Services.
It is running on a Intel® Xeon® Processor E5-2630 v2 2.6.
Despite the RAM limitations, I would expect it to be able to cope with 5 million rows.
I have even tried reducing the partition to 1.5 million rows, and still it has taken 30 mins to do 60,000 rows and maxed out the memory.
I suppose I can keep reducing the partition size....
Anybody got any ideas what I can do to improve the performance?
Thanks
Jon

The server is set up with just a local drive.
How do I check the IO throughput? Is it something I can get from the resource monitor on the server?
Anybody know what is the difference of using Process full, data and index is?
I ran the whole lot with process index and parallel setting of 4 and managed to do it in 5 mins!
Hi JLJ1976,
According to your description, you SQL Server Analysis Services database contain large data, the problem is that it takes long time to process the cube, what you want is reducing the process time, right?
As your SSAS cube gets bigger, cube processing time will become a problem. We can create partition on the database so that it allows you to process multiple partitions in parallel on a server that has multiple processors. Or we can use SSIS package
to process the database at midnight. Please refer to the links below to see the tips about reduce process time.
http://www.jamesserra.com/archive/2012/01/improving-cube-processing-time/
http://blogs.prodata.ie/post/The-basics-of-faster-fact-processing-in-Analysis-Services.aspx
Besides, here is a blog that describe different process options in SSAS, please see:
http://blogs.msdn.com/b/karang/archive/2011/01/25/kind-of-ssas-processing-in-simple-words.aspx
Regards,
Charlie Liao
TechNet Community Support

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