Data Contract Framework: Data Contract Framework — Implementation Guide

Data Contract Framework — Implementation Guide Datanest Digital — datanest.dev Overview This guide walks you through deploying the Data Contract Framework in your Databricks environment. By the end, you will have: A YAML-based contract specification for every critical dataset Automated contract generation from existing tables Continuous SLA monitoring with alerting Breaking change detection in your CI/CD pipeline A searchable contract registry with version history Compliance dashboards for executive visibility Prerequisites Databricks workspace with Unity Catalog enabled Databricks Runtime 13.0 or later Python 3.9+ A dedicated governance schema (e.g., main.data_governance ) Git repository for contract version control Phase 1: Foundation (Days 1-3) Step 1: Create the Governance Schema CREATE SCHEMA IF NOT EXISTS main . data_governance COMMENT 'Data contract registry, SLA monitoring, and compliance metrics.' ; Step 2: Initialize the Contract Registry Upload registry/contract_registry.py