Azure Table

This section covers the following topics:

• Prerequisites

• Get Azure Account Access Keys

• Add Azure Table Data Store

• Add Azure Table Scan

Prerequisites

Get Azure Account Access Keys

You require Azure account access keys to add Azure Table data store in DDC for scanning.

To get Azure Account Access keys:

1. Log on to your Azure account.

2. Select All resources.

3. Use the search explorer to search for storage account.

4. Select the desired storage account.

5. Select Access keys.

6. Click Show to display the key values.

   Note down the key values for key1(Primary) and key2(Secondary).

Note

Only one access key can be active at a time. Ask your Azure Storage account administrator which access key is currently active, and use that key to connect DDC to your Azure Storage account.

Add Azure Table Data Store

To configure the Azure Table data store:

1. Log on to the CipherTrust Manager GUI.

2. Open the Data Discovery & Classification application.

3. Click Data Stores > Data Stores > Add Data Store. The Add Data Store wizard is displayed.

4. Complete the following steps:

   1. Select Type & Category

   2. General Info

   3. Configure Connection

   4. Add Access Control & Tags

   

   Note

   It is recommended to use IAM access keys instead of AWS root credentials.

Select Type & Category

1. Under Select Data Store Category, select Cloud.

2. From Select Cloud Type, select Azure Table.

3. Click Next.

General Info

1. Specify the following details:

   • Data Store Name: Name for the data store.

   • Description (Optional): Description for the data store.

   • Location Name: Location of the data store.

   • Add Location: Click Add Location to add new locations to the Location Name dropdown list. Refer to Adding Locations for detailed steps.

   • Sensitivity Level (Optional): Sensitivity level for the data store. Refer to Sensitivity Levels for details.

   • Enable Data Store: Whether to enable the newly added data store. Select the check box to enable the data store.

2. Click Next.

Configure Connection

1. Specify the credentials of the Azure Table:

   Field	Description
   Account Name	Azure account name.
   Authentication User	Azure storage account name.
   Password	Azure storage account access keys (key1 or key2). See Get Azure Account Access keys.

2. In the Select Number of Agents field, set the minimum and maximum number of agents for the data store. Refer to Agents for more information.

   

   Warning

   • As there is no limit on the number of minimum and maximum agents that you can set, you should exercise caution so that you do not impact the system performance by using too many resources for a single scan.
   • You will not be able to add a datastore if the minimum number of agents cannot be assigned.
   • A scan will fail if the assigned agent is unavailable after adding the datastore.
   • The minimum number of agents must be less than or equal to the maximum number of agents.

3. (Optional) In the Add Label field, enter a label. You can also remove an existing label.

4. Click Next.

Add Access Control & Tags

1. (Optional) Grant the All groups (default) access for reports. Alternatively, select a group.

2. Click Save.

The data store is added to the Data stores page. If the Ready to Scan column shows Ready, then data store is properly configured.

For more information on Access control and Tags, expand the section below.

Add Azure Table Scan

Azure table data store support multi-agent scans.

To add a scan for Azure Table:

1. Open the Data Discovery & Classification application.

2. Click Scans > Add Scan. The Add Scan wizard is displayed.

3. Complete the following steps:

   1. General Info

   2. Select Data Stores

   3. Add Targets

   4. Select Profiles

   5. Apply Filters

   6. Schedule Run

   Refer to Scans for the description of screens of the Add Scan wizard.

General Info

1. Specify a Name for the scan.

2. (optional) Add a Description for the scan.

3. Expand Advanced Configuration and specify advanced configurations such Scan Priority, Memory Usage Limit, and Amount of Data Object Volume. Refer to Advanced Configuration for details.

4. Click Next.

Select Data Stores

1. Under Data Store Name, select the desired data store that is Ready for scanning. You can select multiple data stores, if required.

2. Click Next.

Add Targets

1. To add a scan target, do one of the following:

   • Under the Add Target field, specify the correct target path and click Apply.

     If no specific target is added, the entire data store will be scanned.

     The following table lists target paths and syntax to specify them with examples.

     Target Path to Scan	Syntax	Example
     Full Data Store	<empty_path>
     Specific table	<tablename>	testdata

     

     Note

     Target paths are case-sensitive, except for the bucket name. Failure to use the correct case will result in a successful scan, but the report will not contain any match count for data objects and sensitive data.

   • Navigate and add target paths.

     1. Click Browse to navigate target paths from the root level.

        Alternatively, provide an initial path in the Add Target Path field and click Browse to navigate targets from that point onward.

     2. In the left pane, navigate and select the desired target path.

     3. Click Add Path to add the target path to the right pane. Similarly, add other target paths.

     4. Click Add.

     

     Tip

     Either navigate the target paths from the root level (without specifying any path in the Add Target Path field) or make sure you provide the correct path to navigate further locations within it.

2. Click Next.

Select Profiles

1. Under Classification Profile Name, select the desired classification profiles to search for in the data store. You can select multiple profiles, if required. Refer to Classification Profiles for details on classification profiles.

2. Click Next.

Apply Filters

This step is optional.

1. Select the desired filter from the Select Filter drop-down list.

   To filter the locations to scan an Azure table data store, consider the following syntax.

   

   Note

   Exclude locations by prefix, suffix, and expression filters support wildcard characters. See Using Wildcard Characters to learn how wildcards work.

   • Exclude locations by prefix

     Excludes search locations and nested locations with paths that begin with a given string. Specify <string>. It can be used to exclude entire directory trees.

     Filter Item	Syntax	Example
     Table	<TableName>	ddcdata

   • Exclude locations by suffix

     Excludes search locations and nested locations with paths that end with a given string. Specify <string>.

     Filter Item	Syntax	Example
     Table	<TableName>*	ddcdata* — Applies all paths starting with 'ddcdata' as suffix.

   • Exclude locations by expression

     This filter is majorly used with wildcard characters.

     Excludes search locations and nested locations that matches the given expression. Specify <string>.

     For example, to exclude locations that contain 'blob' in their path, use expression *blob*.

     Filter Item	Syntax	Example
     Table	<TableName>*	ddcdata*

2. Click Apply.

3. Repeat the above steps to apply multiple filters. Click Remove to remove any applied filter.

4. Click Next.

Note

Unsupported filters for Azure tables data store:

• Include locations within modification date

• Exclude locations greater than file size

• Include locations modified recently

Schedule Run

1. Specify the scan run frequency. The two options are:

   • Manual: This is the default option. Select this option to run the scan manually. Select the Run Now check box to start the scan run after you save the changes.

   • Scheduled: Select this option to configure the scan to run automatically at the specified time.

   Refer to Schedule Scan for more details on scheduling scan runs.

2. Click Save.