Udemy - Data Governance - The Fundamentals of Data Governance

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Udemy - Data Governance - The Fundamentals of Data Governance (Size: 1.7 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - Fundamentals of Data Governance
  1. What is Data Governance.mp4 16.4 MB
  2 - Standards Frameworks and Modern Perspectives
  10. Introduction to Data Mesh.mp4 33.5 MB
  11. DAMA vs Data Mesh.mp4 31.9 MB
  12. Practical Example.mp4 47.2 MB
  3 - Corporate Data Strategy
  13. What is Data Strategy.mp4 16.8 MB
  14. What a Strategic Data Plan Consists Of.mp4 22.4 MB
  15. Business Impact.mp4 17.1 MB
  16. Comprehensive Roadmap.mp4 35.4 MB
  17. Data Culture.mp4 18.4 MB
  18. Improvement in Decision Making.mp4 21.2 MB
  19. Efficiency in Data Consumption.mp4 28.2 MB
  20. Practical Example.mp4 50.2 MB
  4 - The Data Governance Operating Model
  21. Introduction to the Operating Model.mp4 12.1 MB
  22. Components of the Operating Model.mp4 22.4 MB
  23. Operating Models (Centralized).mp4 25.4 MB
  24. Operating Models (Decentralized).mp4 21.2 MB
  25. Operating Models (Federated).mp4 38.7 MB
  26. Comparison Between Models.mp4 32.4 MB
  27. Data Governance Policies.mp4 30.3 MB
  28. Data Services.mp4 20.5 MB
  29. Practical Example.mp4 52.5 MB
  5 - Governance Bodies Structure and Roles
  30. Governance Bodies.mp4 28.8 MB
  31. Structural Bodies.mp4 40.9 MB
  32. Governance Structure.mp4 25.2 MB
  33. Organization and People.mp4 23.9 MB
  34. CDO & Governance Manager.mp4 77.1 MB
  35. DAO CIO.mp4 36.5 MB
  36. Data Owner Data Steward Data Users.mp4 50.4 MB
  6 - Implementing a Data Governance Model
  37. Introduction to Implementation.mp4 20 MB
  38. Identifying Purpose and Objectives.mp4 26.8 MB
  39. Analysis of the Company’s Current Situation.mp4 20.4 MB
  40. Forming the Governance Team.mp4 21 MB
  41. A Governance Team.mp4 22.5 MB
  42. Policies and Standards Establishment.mp4 21.9 MB
  43. Technology Implementation.mp4 24.5 MB
  44. Training and Communication.mp4 20.7 MB
  45. Continuous Monitoring and Evaluation.mp4 20.5 MB
  7 - Data Governance Tools
  46. Tools Introduction.mp4 23 MB
  47. Collibra Talend.mp4 50.7 MB
  48. Informatica Alation.mp4 37.2 MB
  49. IBM.mp4 22.5 MB
  8 - Full Practical Cases
  50. Practical Case Example.mp4 82.6 MB
  51. Practical Case – “Improving Data Quality in a Multinational Retail Company”.mp4 37.4 MB
  52. Practical Case – “Implementing a Federated Governance Model.mp4 43.1 MB
  53. Practical Case – “Recovering a Failing Data Project Due to Lack of Governance”.mp4 46.9 MB
  9 - Self Assessment Questions
  54. Beginner Self Assessment.mp4 45.5 MB
  55. Advanced Self Assessment.mp4 34.6 MB
  8. Standards and Paradigms Data Management Framework.mp4 26.9 MB
  9. DAMA vs DCAM Comparison.mp4 44.4 MB
  2. Importance of Data Governance.mp4 16 MB
  3. The Mission of Data Governance.mp4 62 MB
  4. Need for a Governance Model Implementation.mp4 34.6 MB
  5. Common Issues.mp4 34 MB
  6. Why Governance Models Fail.mp4 43.8 MB
  7. Practical Example.mp4 31 MB

Description


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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