Onboarding setup workflow
Learn about the onboarding process through this workflow, which provides an overview and the sequence for setting up Reltio Embedded Entity Resolution in Databricks.
The onboarding workflow shows the end-to-end onboarding flow for setting up Reltio Embedded Entity Resolution in Databricks. It outlines the sequence of actions performed by you and the Reltio, along with the expected outcome at each stage.
- Customer steps represent actions that you perform in your Databricks environment.
- Reltio steps represent actions performed by Reltio to provision the solution and share required assets.
- Expected outcomes describe the result of each step and confirm readiness for the next stage.
Onboarding workflow
Follow this sequence of steps to prepare your environment, access the required assets, and enable execution of the entity resolution pipeline.
To complete the setup, perform the following steps:
| Step | Task | See topic |
|---|---|---|
| A | Prepare your Databricks workspace, compute resources, catalogs, and required permissions. | Set up your Databricks environment |
| B | Reltio provides access to the repository for Databricks notebooks. | — |
| C | Use the provided access details to clone the Databricks notebooks repository | Clone the repository into your Databricks workspace |
| D | Provide your Delta Sharing identifier to Reltio to enable ML model and library sharing. | Provide your Delta Sharing Identifier to Reltio |
| E | Reltio shares the required models and library through Delta Sharing. | — |
| F | Accept the shared assets and mount them to a catalog in your workspace. | Accept and mount the shared assets |
| G | Install the shared library on your compute cluster. | Install the required library on the cluster |
| H | Run the entity resolution pipeline using the configured notebook and cluster. | Run Reltio Embedded Entity Resolution in Databricks |
To begin onboarding, prepare your Databricks environment by completing the required setup, see Set up your Databricks environment.