Choose the destination and staging service for the event data you want to use outside the Darwinium portal. Follow the guide that matches your analytics environment.
Choose a destination
- AWS S3: Export data to AWS S3.
- Databricks: use AWS S3 staging or Google Cloud Storage staging.
- Snowflake: use AWS S3 staging or Google Cloud Storage staging.
- Notebooks and Python analysis: see Jupyter / Python event data access.
Prepare the integration
Identify the destination, the staging storage you will use, and the team that manages its access. The destination guide provides the required configuration and permissions.
If you are configuring Darwinium's event storage, start with Bring your own S3: architecture and Configure S3 storage. Review S3 lifecycle & retention for storage lifecycle configuration.
Understand the data
Use the Attribute Reference and Attributes, identifiers & subjects to interpret exported fields. For queries and investigation in the portal, see Investigations overview.