Raw Data files store flow records exported in a 5-minute interval.
Raw Data Tree groups Raw Data files in folders according to the day/hour/minute. Selecting a node from the tree allows inspection of specific Raw Data files.
To inspect Raw Data:
Raw Data table shows flow records from the selected Raw Data file(s). Data can be filtered, grouped and sorted by almost any field (source IP address, Bytes, Protocol etc.).
Clicking on Bidirectional button provides expanded filtering on two pairs of columns:
When you enable Bidirectional filtering, filter will be applied not only on filtered column, but also on bidirectional pair of that column. With this option enabled it is easier to find records for some IP address/port without knowledge if that IP address/port is source or destination. In example below, user is searching for one address and one port as source. With Bidirectional option enabled, result where that IP or port are destination will be also returned.
Clicking on Names button provides IP address resolution. If you move your mouse cursor over specific IP address you can see WhoIs information about that host.
If you want to see detailed description for fields in some columns all you need to do is to move mouse cursor over some IP address or port. Provided information is actually detailed description from Display Names section in Settings.
In order to enable IP address resolution, your NetVizura server should have local or remote communication with DNS server (for Hostname) and Internet access (for Whois information). |
To export Raw Data, click on the the Export button in the upper right corner of the Raw Data Table.
Depending on the amount of data, export can last a couple of minutes Depending on your browser settings, browser may ask you were to save the file or it will save the file to a default folder (usually Downloads folder). Some spreadsheet software may ask you which separator to use when opening the file - select Comma. |
Grouping, filtering and sorting the raw data table will affect the CSV as well. This will also make a CSV file much smaller. |