WENDELIN combines Scikit Learn machine learning and NEO distributed storage for out-of-core data analytics in python
Table of Contents
- Publication Workflow
- User Rights
This tutorial gives generic overview of Wendelin Data Lake security model.
It explains the publication states of Data Sets and which users are allowed to upload and download data.
When data is being uploaded to Wendelin, Data Set is created.
Until the upload is finished Data Set is in Draft state. Once upload is finished the state automatically changes to Validated.
User can change the state from Validated to Published to make the Data Set publicly available.
To remove the public access user can Invalidate the published Data Set.
Read - download Data Sets
Write - upload Data Sets
Anonymous users can access only Published Data Sets to download.
Registered users can upload as well as download Validated, Published and Invalidated Data Sets.