Table data describes information that is arranged in the form of tables. A common method of storing table data is a CSV (Comma Separated Values) file. Lines in CSV files correspond to table rows. Table rows in CSV files are separated using a special character known as the column separator. For example, a semicolon can be used to separate columns in a CSV files.
The application uses categories of table data to search for table data on SharePoint sites. The category contains the path to a CSV file with table data that needs to be monitored to prevent potential leaks, and also data search criteria.
A CSV file can be opened in such applications as Notepad, WordPad, or Microsoft Excel®.
To add a category of table data:
The Category settings dialog will appear. This window lets you add table data, configure data search settings, and specify the category name.
For the category of table data to work properly, the CSV file must be saved using UTF-8 encoding.
By default, the comma is used to separate columns.
The match level is the minimum number of cells with table data whose content matches data in SharePoint files. The number of cells is created based on unique crossings between columns and rows of the table.
By default, the application detects files with data present in any two table rows.
By default, the application detects files with data present in any two table columns.
For more details on how to add table data categories click the Additional information about category link in the Category settings window.
This opens a window showing the progress of table data being loaded into a category.
When table data is added to a category, the first row in the CSV file is ignored (it is presumed that the first row contains table header data).
If an error is encountered while table data is being added to a category, the application shows a notification with the number of the table row that caused the error.
The new category is added to the list of categories in the Categories and policies node.
You can use a category to search SharePoint sites for data and monitor data leaks.