Warehouse Native Experimentation Integrations
Overview
To run experiment analyses using Warehouse NativeA method of running feature management experiments directly within your data warehouse, leveraging its processing power and existing data infrastructure., Harness FME connects directly to your data warehouseA centralized repository for storing and managing large volumes of structured and semi-structured data. Examples include Snowflake, BigQuery, Redshift, and Databricks.. This allows you to use your existing event and metric data without duplicating or moving it.
Warehouse Native Experimentation requires the following permissions:
- Read access to event, exposure, and metric tables
- Write access to a dedicated Harness schema for storing analysis results
- Permission to run queries and scheduled jobs
Supported integrations
Warehouse Native Experimentation supports the following data warehouses:
Set up your connection, configure access, and apply recommended policies to start analyzing experiments in your data warehouse.