What is a Computational Policy?

Blindata’s computational policies are automated governance rules designed to ensure compliance, consistency, and streamlined management throughout the data product lifecycle. By minimizing manual intervention, these policies enable organizations to enforce global standards and validate data operations efficiently and reliably.

How to Implement a Computational Policy

1. Select or Create a Policy Adapter
   Choose an existing policy adapter from the Open Data Mesh GitHub repository , such as OPA (Open Policy Agent), or develop your own validator. To create a custom validator, ensure it adheres to the REST API contract (Validator API) specified by the policy adapter.

2. Register the Policy Engine
   Register the validator’s URL with the Policy Engine Service API. This step connects your policy enforcement engine to Blindata, enabling seamless integration.

3. Define the Governance Policy in Blindata
   Use Blindata’s interface to define your governance policy. Specify its objectives, implementation details, events to trigger the policy, and the associated validation rules to enforce compliance.

4. Deploy the Policy
   Deploy the defined policy within Blindata. Deployment activates the policy, ensuring real-time validation and governance of data products across the lifecycle.

How to Use This Guide

• Computational Policy Deployment
  Learn how to create and deploy policies within Blindata, including configuration and activation on your target platform.

• Computational Policy Events
  Understand the standard events that can trigger policies, complete with examples for practical implementation.

• Computational Policy Validators
  Explore how to configure policy validators, and get guidance on developing custom validators tailored to your organization’s needs.