How to Implement Data Governance (A Step-by-Step Framework)

Is your data team drowning in broken pipelines, undefined metrics, and "garbage in, garbage out" scenarios? That isn’t a tech problem—it’s a governance problem. In this video, I break down Data Governance from a practical engineering perspective, moving beyond the buzzwords to show you how to implement a framework that ensures data quality, security, and usability. 🚀 Want to break into data engineering? I built the complete roadmap: https://whop.com/the-data-guy-llc/the-data-engineering-fast-track-course/ 🚀 Support the Channel & Get Source Code: https://patreon.com/TheDataGuy?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink ⚡ Get to The Next Level in Your Career: https://apps.apple.com/us/app/careercoachr/id6756392642 Many organizations treat governance as just "red tape" or compliance boxes to check. But effective Data Governance is the backbone of a scalable data platform. Whether you are a Data Engineer, Analytics Engineer, or CDO, understanding how to manage the availability, usability, and integrity of your data is critical. We will cover the "People, Process, and Technology" framework and give you a step-by-step guide to rolling out governance without slowing down development.