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Data Governance: The Fundamentals of Data Governance
https://WebToolTip.com
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 33m | Size: 1.74 GB
Learn data governance frameworks (DAMA, DCAM, Data Mesh), implementation strategies, roles, and organizational models
What you'll learn
Understand data governance fundamentals including DAMA, DCAM, and Data Mesh frameworks, and evaluate which model best fits your organization's needs.
Implement a complete data governance program from strategy definition to execution, including policies, procedures, and operational frameworks.
Define governance structures with clear roles and responsibilities including CDO, Data Owners, Data Stewards, and establish effective committees.
Choose and implement appropriate operating models (centralized, decentralized, or federated) and select the right governance tools for your company.
Develop a corporate data strategy with comprehensive roadmaps combining short, medium, and long-term actions aligned with business objectives.
Build a strong data culture across your organization by establishing policies, standards, and processes that ensure data quality and consistency.
Evaluate and select data governance tools like Collibra, Talend, Informatica, and Alation based on your specific organizational requirements.
Solve common data governance challenges including data silos, quality issues, lack of ownership, and resistance to change in your organization.
Requirements
Some professional experience working with data is recommended, but you don't need to be a data scientist or programmer.
No prior data governance experience required, we teach everything from fundamentals to advanced implementation.
No programming or coding skills needed, this course focuses on strategy, processes, and organizational structures. |
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