Configuring Data Profiling

Data quality scores (DQ scores) enable you to measure your data's quality. A higher DQ score indicates better accuracy and completeness of the data. To provide data quality capabilities, erwin Data Intelligence (erwin DI) integrates erwin Data Quality as a data quality analysis partner. To run data quality profiling, you need to configure erwin Data Quality in your erwin DI application.

Configuring erwin Data Quality in erwin DI requires Client ID and Client Secret details available in your erwin Data Quality instance. To get configuration details, refer to the Accessing erwin Data Quality Configuration Details section.

erwin Data Quality supports Single Sign-On (SSO). For more information, refer to erwin Data Quality SSO guide.

To configure erwin Data Quality, follow these steps:

  1. Go to Application Menu > Settings > Miscellaneous Configurations.
    The Miscellaneous Configuration page appears.
  2. Click the Data Profiling Configuration tab.
    The Data Profiling Configuration tab appears.

    Use the following options for setting up data profiling configuration:
    • Enable Native Profile: Use this option to enable and configure an erwin Data Quality profile to sync erwin DI and erwin Data Quality and profile data.
    • Enable DQ Fields: Use this option to display only the selected data quality parameters across the assets in your organization.
    • Enable DQLabs: Use this option to enable erwin Data Quality integration using connection details and schedule a sync job. For more information, refer to the Enabling DQLabs section.

Enabling DQLabs

To enable erwin Data Quality integration, follow these steps:

  1. On the Data Profiling Configuration tab, click Enable DQLabs.
  2. Click .
    The DQLabs Configuration tab switches to edit mode and displays connection details.

    3. This configuration requires Client ID and Client Secret from your erwin Data Quality instance. To get configuration details from erwin Data Quality instance, refer to the Accessing erwin Data Quality Configuration Details section.

  3. Enter appropriate values in the fields. Refer to the following table for field descriptions:

    4. Field Name

    Description

    DQ Version

    Specifies the version of Data Quality.

    For example, 2.x, 3.x.

    Data Quality version 3.x supports DI version 15.0.x and above.

    Base URL (Private)

    Specifies the base URL of your erwin Data Quality instance

    For example, https://cloud.dqlabs.ai

    Public URL

    Specifies the public URL of your erwin Data Quality instance

    For example, https://cloud.dqlabs.ai

    Client Id

    Specifies the alphanumeric client ID of your erwin Data Quality instance

    For example, 2ax1x3xde-b8x8-4b134-aa08-xxx303p2b86f1fk

    Client Secret

    Specifies the client secret of your erwin Data Quality instance
  4. Click .
    The erwin Data Quality configuration is saved.

To test the configuration, click . If the connection with the erwin Data Quality instance is established successfully, then a success message appears.

You can now access erwin Data Quality from erwin DI. To access erwin Data Quality, go to Application Menu > Data Quality.

The next steps involve adding datasets in the erwin Data Quality and scheduling a erwin Data Quality job.

Accessing erwin Data Quality Configuration Details

To access Client ID and Client Secret in your erwin Data Quality instance, follow these steps:

  1. Log in to erwin Data Quality.
    The erwin Data Quality instance opens.
  2. On the app menu, click > Settings > Organization tab.
  3. Click Edit, then go to System tab and expand the Api section.
    The Api section displays the Client ID and Client Secret.
  4. Hover over the values and click to copy them.
  5. Paste these values into the Enabling DQ Labs section.