There is no straight (or direct) answer to this.  It is possible, but it requires some math and scripting.  This means that for each ssid for given client you will need to extract data from mdb which gives "ss data domain dedup statistics" which then you can use to calculate pre and post values.  I personally didn't play with it, but top of my head that would be one way of doing it.

Hrvoje Thanks for your insight ! I remember I saw some time ago a graphic representation of Data Domain occupancy. It was a kind of graph was composed by boxes in different sizes that showed each client occupancy. I think is was generated thru Mitrend or some other tool. I submitted my DD information to MiTrend but I did not received this graph into the presentation. I will work with some kind of script to get this information from DD. Again thanks for your comment ! Luciano

Luciano,

This client level occupancy is generated from Mitrend.

The collection procedure can be slightly tricky, so take a look at the collection PDF file on the Mitrend Instructions page.

There are some caveats, listed on the first page of the report. It's actually not a perfect representation of occupancy, rather, it's good for showing which clients have the greatest "churn" (highest rate of change).

Contact us at feedback@mitrend.com for more information.

- Paul

Paul thank you so much for your feedback. Meanwhile I sent a consistend collection from DD to Mitrend and the result was great ! It meet my expectations.

Luciano