Sharing Projects and Analysis Results

Public projects on Cloudera Data Science Workbench grant read-level access to everyone with access to the Cloudera Data Science Workbench application. That means everyone can view the project's files and results, but only those whom you have granted write-level access or higher can edit files, run engines, or view the project's environment variables.

You can include a Markdown-formatted README.md file in public projects to document your project's purpose and usage.

If you are a project admin, you can set a project's visibility to Public from the Project > Settings > Options page. For instructions, see Modifying Project Settings.

You can fork another user's project by clicking Fork on the Project page. Forking creates a new project under your account that contains all the files, libraries, configuration, and jobs from the original project.

Creating sample projects that other users can fork helps to bootstrap new projects and encourage common conventions.

Cloudera Data Science Workbench lets you easily share the results of your analysis with one click. Using rich visualizations and documentation comments, you can arrange your console log so that it is a readable record of your analysis and results. This log continues to be available even after the session stops. This method of sharing allows you to show colleagues and collaborators your progress without your having to spend time creating a report.

To share results from an interactive session, click Share at the top of the console page. From here you can generate a link that includes a secret token that gives access to that particular console output. For jobs results, you can either share a link to the latest job result or a particular job run. To share the latest job result, click the Latest Run link for a job on the Overview page. This link will always have the latest job results. To share a particular run, click on a job run in the job's History page and share the corresponding link.