Datalake - Summary & Workflow

As a summary, in this first part of the documentation related to the Datalake, we discovered how to:

  • Upload Data to a Datalake from local drive or from a Cloud-based bucket
  • Visualize Data and associated Metadata
  • Structure Data using DataTag
  • Order and filter Data based on available Metadata
  • Select a subset of Data to create a DatasetVersion

All those actions can also be done programmatically using the Python SDK.