Exploratory Data Science and VisualizationPDF version

Setting up a Custom Data Connection

Data connections that point to data sources outside of Cloudera or require custom configurations can be created and made available to end users with Custom Data Connections. These Python implementations of the Cloudera AI Data library are stored in the Data Connections Registry. Workbench users can track and connect to any data source and connection implementation a Cloudera AI Administrator makes available.

Consider the followings:

  • Custom connections can only be created in projects created by the Administrator.
  • The project source selection list in the Data Connection creation dialogue only displays projects created by the user.
  • Team projects or projects with multiple collaborators will also not be displayed, only those directly created by the user.
  • Custom connections at workbench level can only be edited by the creator, not other Administrator users. Attempts at editing workbench level custom connections will result in an error.

Before setting up a custom connection, you might want to create a dedicated Cloudera AI Team to collaborate on external connections. A good practice is to separate the connection code projects and and configure collaborators on the Team level to build and maintain the connection code.

  1. Develop your own custom data connection (see Developing a Custom Data Connection) in a Cloudera AI project, or clone an existing custom data connection files directory into a Cloudera AI project.
  2. In Site Administration > Data Connections, select New Connection.
  3. Enter the connection name. You cannot have duplicate names for data connections within a workbench or within a given project.
  4. Select the connection type: Custom Connection
  5. Enter the Type Display name. This should be a descriptive label to help Cloudera AI project owners identify what this custom connection could be used for.
  6. Select the Cloudera AI Project and Project directory which contains your custom connection implementation
    1. Connection files must be in a directory and not in the root of your project.
    2. A snapshot of all implementation files in the directory will be uploaded to the Cloudera AI Custom Data Connection registry located in the workbench.
    3. These uploaded files are safe from any changes to the originating project. To make changes to the files, create a new custom data connection.
  7. (Optional) Enter any custom parameters. These are available during a session and can be validated or overridden depending on the interface implementation for the custom data connection. Refer to the implementation of your custom data connection for specific details on required keys and values.
  8. Click Create.
The data connection is now available to all users. To change availability, click the Available switch. This switch determines if the data connection is displayed in Projects created within the workbench. Refer to Data connection management for availability of your newly created custom connections in new and existing Cloudera AI Projects.

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