Release Note May 15
Data Studio performance and reliability improvements
This release introduced enhancements to the Data Studio upload process, where the saving of Data Studio analyses is now faster and more resilient, delivering a more consistent experience and mitigating the risk of session errors.
Improvements
- Faster workspace saves. Data Studio now skips temporary files, caches and some installed software environments when saving a workspace, so saves finish much faster. Code, notebooks, data files and R session data are saved as before. Folders commonly used for caches, package environments and editor settings are skipped wherever they appear in the workspace, such as .cache, __pycache__, conda_envs, venv, renv and node_modules. Packages or environments installed in these folders during a session may need to be reinstalled the next time the analysis is started. Files stored in folders with these names should be moved, or the folders renamed, before saving.
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Automatic recovery from failed saves. If a save is interrupted, Data Studio keeps the analysis running and retries the save automatically.
A configurable file and directory exclusion filter is available for Data Studio workspace uploads, allowing platform administrators to control which directories and file patterns are skipped during upload via core.properties.
Resources
If you have questions or experience issues with Data Studio workspace uploads, please contact your Seven Bridges representative or email support@velsera.com.
Learn more about Data Studio.
