Call Detail Record (CDR)
Hi there, has anyone of you had some experience with CDR's. CDR's are Telco style data sets, which describe calls placed by a customer.A call detail record containsmetadata– containingdata fieldsthat describe a specific instance of a telecommunication transaction, but does not include the content of that transaction, according to Wikipedia. Depending (on the noof fields captured)on the telco's definition, these files could be smaller or bigger. They are mostly zipped. I am yet to understand a bit more about it, but the questions is can Di be used to reduce the amount of primiary storage consumed here. Any comments/pointers will be appreciated. Thanks
DQL Report does not output to 1 file 5.0.1
I am using DI 5.0.1 and I am not able to have the DQL report to output to 1 single file. Is anyone else having this issue? I have a DQL query and when I am pulling some of the AD Attributes, it will separate the files. I even have put 'format user AS csv' at the end and it still puts it into multiple files. From user get name, principal_name, login, Home_directory, Department If Home_Directory not in ('nowhere') format user AS CSV; Please help!
Audit log information and SharePoint reports
Hi, I am trying to determine what precisely some of my DI reports are telling me. Specifically, related to the Access details report, it is my understanding that SharePoint audit logsdifferentiate between a "view" (e.g.,going to a site or a library) and a "read" (e.g.,opening an item on a site or a library), but it does not appear that DI access reports maintain that distinction- everything appears to be a "read". So the question is: does DI differentiate between "view" and "read" events in SharePoint (2010). If so, can we create a report that shows who has accessed a SharePoint site, but not read anything? Thanks.
Data Insight - looking for best way to get aged data
Currenty running 4.5 Data Insight, and looking for some thoughts on how to report on old data. I've been using the 'Data Aging' report, and our org needs data broken down by 1 year, 3 years, 5 years, and 7 years. Regardless of how I set the interval/bucket, it seems to keep the report at 0-3 months, 3-6 months, 6-9 months, 9-12 months, and older than 12. Perhaps I'm misunderstanding how to use this particular report, but I was hoping for an easy-mode report on what data falls into those intervals. thoughts?
