Cloudera Docs

Creating a data connection in Cloudera Data Visualization

Cloudera Data Visualization allows you to connect to various external data sources to enhance your data analysis and visualization capabilities.

Cloudera Data Visualization currently supports the following connection types:

  • Hive
  • Impala
  • MariaDB
  • MySQL
  • PostgreSQL
  • Phoenix [Technical Preview]
  • Solr [Technical Preview]
  • Spark SQL
  • SQLite (not supported in Cloudera Data Warehouse)
  • Snowflake [Technical Preview]
  • Trino [Technical Preview]

These supported connection types provide flexibility and versatility for integrating multiple sources into your data analysis workflows.

In Cloudera Data Warehouse, the connection to the database catalog is automatically set up when you enable Cloudera Data Visualization in a Virtual Data Warehouse. You can also create your own connections to other data warehouses, but it is not supported.

Database catalogs and virtual data warehouses automatically inherit the same security restrictions that are applicable to your Cloudera environment. There is no need to specify the security setup again for each database catalog or virtual warehouse. If you cannot see the data in the connected database catalog after you log in, check and adjust data access permissions or your environment and data warehouse user permissions.

In Cloudera AI, you can set up several connection types. For example, you can connect Cloudera Data Visualization to an Impala or Hive data warehouse.

  • You must have the Manage data connections privilege or be an administrator to create new connections.

  • You can create a connection by:

    • Manually entering connection details.

      If you create a connection, you automatically have the privileges to create and manage datasets on this connection, and also build dashboards and visuals in these datasets. For more information on user privileges, see RBAC permissions.

    • Importing connection details from the JSON configuration of another connection. For instructions on how to obtain the JSON configuration, see Getting connection details in JSON format.

  1. On the main navigation bar, click DATA.
    The DATA interface opens, displaying the Datasets tab.
  2. On the side menu bar, click NEW CONNECTION.

    The Create New Data Connection modal window appears.

  3. Select the preferred Connection type from the drop-down list and assign a name to your connection.

    You can fill in the connection details manually or import connection data using a JSON file.

  4. Create the data connection.
    Option 1: If you are creating the data connection manually:

    1. On the Connection Settings tab, select the preferred connection type from the drop-down list

    2. Enter a name for the connection.

    3. Fill in the required connection details on all tabs.

    4. Provide your username and password.

    5. Click TEST to check the connection.

      If any details are missing or invalid, an error message appears. Review the fields, fix the issues, and test the connection again.

    6. If the test is successful, click CONNECT to establish the connection.

    Option 2: If you are creating the data connection using a JSON file from another connection:

    1. Switch to the Import from JSON tab.

    2. Paste the connection configuration in JSON format into the text field.

      You can copy the details of an existing data connection from the Data Connection Information modal. For instructions, see Getting connection details in JSON format.

    3. Click IMPORT & CONNECT to auto-populate the connection details from the JSON file.

      If any configuration details are invalid, an error message appears, and you can manually correct the configuration.