Table of contents

Exporting an analytics project (Watson Studio)

You can share assets in a project with others by exporting them. You can:

  • Export a project to desktop

    This project ZIP file can be shared with others and used to create a new project from file.

  • Export a project to a Git repository

    The assets that are pushed to the Git repository can be shared by creating a new project from Git. Note that you can only export project assets to a Git repository, if the project was created with Git integration.

If a project is marked as sensitive, you can’t export data assets, connections or connected data from the project.

Important: Be mindful when exporting assets to always also include the dependencies of those assets, for example the data assets or connections for a data flow, a notebook, connected data or jobs. There is no check for dependencies. If you don’t include the dependencies of the assets that you export, subsequent project imports will not work.

Currently you cannot export SPSS Modeler flows or Metadata Imports. This means that an exported job for a SPSS Modeler flow or a Metadata Import will not work when imported.

Exporting a project to desktop

Exporting a project packs the project assets that you select into a single ZIP file that can be shared like any other file.

Required role: You need Admin or Editor permissions on the project to export a project to desktop.

To export project assets to desktop:

  1. Open the project you want to export assets from.
  2. Check whether the assets that you include in your export, for example notebooks or connections, don’t contain credentials or other sensitive information that you don’t want to share. You should remove this information before you begin the export. Only private connection credentials are removed. Note as well that any connections that were added from the connections catalog will be local to the project. The connections will no longer be platform-level connections.
  3. Optional. Create a text readme file with a list of the assets that you want to include in the export. Give a brief description of the analytics use case of the added assets and the data analysis methods that are used. Upload the text document as a data asset to the project.
  4. Click  the Export to desktop icon from the project toolbar.
  5. Select the assets to add. You can filter by asset type or customize the project export settings by selecting preferences (the settings icon to the right of the window title) which are applied each time you export the project.
  6. Optional: Change the name of the project export file.
  7. Click Export. Do not leave the page while the export is running.

    When you export to desktop, the file is saved to the Downloads folder by default. If a ZIP file with the same name already exists, the existing file isn’t overwritten.

    Ensure that your browser settings download the ZIP file to the desktop as a .zip file and not as a folder. Compressing this folder to enable project import leads to an error. Note also that you cannot manually add other assets to an exported project ZIP file on your desktop.

    The status of a project export is tracked on the project’s Overview page.

Exporting a project to a Git repository

To export selected project assets to a Git repository, your project must be enabled for Git integration. With Git integration enabled, you can synchronize between project assets and the Git repository.

Required role: You need Admin permissions on the project to export project assets to a Git repository.

To export project assets to a Git repository:

  1. In your project, click  the Sync icon from the project toolbar.
  2. Select Pull and push to push the project assets you selected to the repository. You can push incremental changes to the repository.
  3. Select your access token.
  4. Select the assets to add. You can filter by asset type or customize the project export settings by selecting preferences (the settings icon to the right of the window title) which are applied each time you export the project.

    Note that notebook and Python script changes, which you committed to the repository in JupyterLab, are not automatically synchronized. You must explicitly select these assets to add them to the project synchronization.

    The status of a project export is tracked on the project’s Overview page. Note that you cannot manually add other assets to the project assets that you exported to the Git repository.