Basic concepts > ETL and Data Hub

Data Hub adds an extra layer on top of ETL library when used together. The hub takes over the responsibility of data extraction, and does it from much more sources than ETL library can (for example cloud connectors, Active Directory, PowerShell etc.).

The Extraction part in the ETL library works then directly on the already extracted data. It ensures, that the transformation and all required operations are executed in a clean sandbox.

•Extract -> should be understood as reading the values from the RayVentory Data Hub Results table – data already collected by any Data Agent

•Load -> should be understood as writing back normalized result(s) to the RayVentory Data Hub Results table.

Extraction and loading can be implemented in the hosted instance (task type transformation) or on agent site.