Cloudera Docs

Deploying a Cloudera Data Visualization application in Cloudera Data Science Workbench

Learn how to deploy Cloudera Data Visualization in Cloudera Data Science Workbench.

Creating a Cloudera Data Science Workbench project with Cloudera Data Visualization Runtime

Learn how to create a Cloudera Data Science Workbench project with a Cloudera Data Visualization Runtime as the default runtime.

  1. Click Projects on the left sidebar of Cloudera Data Science Workbench.
  2. Click New Project on the Projects page.
  3. Enter a project name.
  4. Select the visibility of the project.
  5. Under Initial Setup, you can either create a blank project, or select a source for your project files.
  6. Click Create Project.
    The created project uses Cloudera ML Runtimes that are managed in the Runtime Catalog.

After the project is created, you can start creating an application. You can select which runtime edition you want to use for the application.

Creating a Cloudera Data Visualization application in Cloudera Data Science Workbench

Learn how to create a Cloudera Data Visualization application in Cloudera Data Science Workbench to help you visualize and interact with your data insights. This integration allows for seamless data visualization, exploration, and reporting within the same platform.

The following steps will guide you on how to create a Cloudera Data Visualization application within Cloudera Data Science Workbench.
  1. Navigate to the Overview page of your Cloudera Data Science Workbench project.
  2. On the left sidebar, click Applications.
  3. Click New Application.
  4. Provide the following details for your new application:
    • Name – Enter a name for the application.
    • Subdomain – Enter a subdomain that will be used to construct the URL for the web application. Esure it only contains URL-friendly characters.
    • Description – Add a description for the application.
    • Enable Unauthenticated Access – Mark the checkbox if you want to allow unauthenticated access to your application. You can also update this setting later on the Settings page of the application.
    • Script – Select the path to the startup script.
    • Runtime
      • Editor – Workbench
      • Kernel – Select Cloudera Data Visualization for the kernel supported by the Runtime variant of the Cloudera Data Science Workbench project.
      • Edition – Select the edition of the Runtime variant you want to use for your application.

      All available runtimes are listed in the Cloudera Data Science Workbench Runtime Catalog. For more information about ML Runtimes, see Managing ML Runtimes and Using Runtime Catalog.

  5. Click Create Application.

After a few minutes, the application status will change from Starting to Running on the Applications page. Your CDV application is now fully operational.

You can restart, stop, or delete a Cloudera Data Science Workbench application from the supplemental menu of the application. If you want to make changes to the application, navigate to Application Details > Settings.

Start Cloudera Data Visualization in Cloudera Data Science Workbench.

Starting Cloudera Data Visualization in Cloudera Data Science Workbench

Learn how to start the Cloudera Data Visualization application you have created in Cloudera Data Science Workbench.

  1. On the Applications page, click the name of your Cloudera Data Visualization application to access the login interface.
  2. Log in to Cloudera Data Visualization by entering your username and password. Use your workload credentials.
    If you want to log in as an administrator, you can use the following default credentials:
    • username: vizapps_admin
    • password: vizapps_admin

    When using the default credentials to log in to Cloudera Data Visualization, you are prompted to change your password at the first login.

    SSO authentication is disabled by default. See Authentication for information on how to permit user authentication with the Cloudera Data Science Workbench login credentials and log users in automatically.

    After logging in, you land on the homepage view of Cloudera Data Visualization. Here you can explore some sample dashboards or access the in-tool Get Started guide for help.