In the context of increasingly complex data ecosystems, DataOps, a discipline combining data management and operations, is gaining significance as organizations struggle with data incidents and governance issues. To transition from reactive to proactive data management, key components such as source and version control, access controls, code review, CI/CD, and observability are essential. Modern tools like dbt and Airflow support these functions, but challenges persist, including inadequate version control, lack of visibility across teams, and the overwhelming number of tools. Foundational offers a unique approach by integrating directly with source code repositories to ensure comprehensive data management, aiming to streamline data development and reduce issues related to data quality, privacy, and cloud costs.