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Data Governance: The Fundamentals Of Data Governance
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 33m | Size: 1.74 GB [/center]
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.
Description
As you know, Data governance is one of the most in-demand skills in business today, and for good reason. Organizations are sitting on massive amounts of data, but without the right frameworks to manage, protect, and leverage it, that data becomes a liability rather than an asset.This course gives you a complete foundation in data governance, whether you're just getting started or looking to formalize knowledge you've picked up along the way.You'll master industry-standard frameworks like DAMA and DCAM while exploring newer approaches like Data Mesh. More importantly, you'll understand why organizations choose different structures and when each one makes sense.The course goes beyond theory. You'll learn how corporate data strategies actually get built, how governance committees function day to day, and what roles like Chief Data Officer, Data Owner, and Data Steward really involve. We'll compare centralized, decentralized, and federated governance models so you can recommend the right approach for any organization.On the practical side, you'll get familiar with leading tools in the market, including Collibra, Talend, Informatica, and Alation. Real-world case studies show how companies tackle data quality problems, roll out governance frameworks, and build cultures that actually use data to make decisions.This course works for students preparing to enter the field, professionals moving into governance roles, and experienced practitioners who want structured, formal knowledge.No programming background needed. Just a willingness to learn.
Who this course is for
Perfect for anyone already working with data or aspiring to start a career in data governance, data management, and data-related roles.
Great for anyone working with data today or planning to build a career in data governance, data quality, or data management.
This course is for data professionals and business leaders who need to implement, manage, or participate in data governance programs.
Perfect for data managers struggling with data quality issues, inconsistent definitions, and data silos across departments.
Ideal for data analysts who want to ensure the data they work with is accurate, consistent, and properly governed.
Whether you're starting a governance program from scratch or improving an existing one, this course provides the guidance you need.
Great for data stewards and data owners who need to understand their roles and responsibilities in the governance framework.
Valuable for consultants advising organizations on data governance strategy, frameworks, and implementation best practices.
Suitable for professionals transitioning into data governance roles and wanting to build comprehensive foundational knowledge.
Data Governance: The Fundamentals Of Data Governance
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 33m | Size: 1.74 GB [/center]
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.
Description
As you know, Data governance is one of the most in-demand skills in business today, and for good reason. Organizations are sitting on massive amounts of data, but without the right frameworks to manage, protect, and leverage it, that data becomes a liability rather than an asset.This course gives you a complete foundation in data governance, whether you're just getting started or looking to formalize knowledge you've picked up along the way.You'll master industry-standard frameworks like DAMA and DCAM while exploring newer approaches like Data Mesh. More importantly, you'll understand why organizations choose different structures and when each one makes sense.The course goes beyond theory. You'll learn how corporate data strategies actually get built, how governance committees function day to day, and what roles like Chief Data Officer, Data Owner, and Data Steward really involve. We'll compare centralized, decentralized, and federated governance models so you can recommend the right approach for any organization.On the practical side, you'll get familiar with leading tools in the market, including Collibra, Talend, Informatica, and Alation. Real-world case studies show how companies tackle data quality problems, roll out governance frameworks, and build cultures that actually use data to make decisions.This course works for students preparing to enter the field, professionals moving into governance roles, and experienced practitioners who want structured, formal knowledge.No programming background needed. Just a willingness to learn.
Who this course is for
Perfect for anyone already working with data or aspiring to start a career in data governance, data management, and data-related roles.
Great for anyone working with data today or planning to build a career in data governance, data quality, or data management.
This course is for data professionals and business leaders who need to implement, manage, or participate in data governance programs.
Perfect for data managers struggling with data quality issues, inconsistent definitions, and data silos across departments.
Ideal for data analysts who want to ensure the data they work with is accurate, consistent, and properly governed.
Whether you're starting a governance program from scratch or improving an existing one, this course provides the guidance you need.
Great for data stewards and data owners who need to understand their roles and responsibilities in the governance framework.
Valuable for consultants advising organizations on data governance strategy, frameworks, and implementation best practices.
Suitable for professionals transitioning into data governance roles and wanting to build comprehensive foundational knowledge.
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