What is DataOps?
DataOps applies DevOps principles — CI/CD, automation, collaboration, and monitoring — to data pipeline development and operations. It aims to shorten the cycle time from business question to reliable data insight.
Core DataOps Practices
- Pipeline CI/CD: Automatically test and deploy data pipeline changes through a pull request workflow.
- Data Contracts: Define agreed-upon schemas between producers and consumers to catch breaking changes before deployment.
- Pipeline Observability: Track pipeline run duration, row counts, and failure rates with automated alerting.
- Environment Parity: Maintain dev, staging, and prod data environments to safely test changes before production.