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Data Governance Training

Live Online & Classroom Enterprise Training

Data governance is the framework for managing data integrity, security, and compliance within an organization. It ensures data quality, consistency, and accessibility to support informed decision-making and regulatory requirements.

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What is Data Governance Training about?

This course provides a comprehensive introduction to Data Governance, enabling participants to understand its importance in ensuring data security, quality, compliance, and accountability. Learners will explore governance frameworks, implementation strategies, tools, and cloudspecific governance challenges to align data practices with organizational goals.

What are the objectives of Data Governance Training ?

  •  Understand Data Governance principles, frameworks, and implementation
  • Define data policies, standards, and compliance regulations
  • Establish data stewardship roles and responsibilities
  • Ensure data quality, integrity, and lifecycle management
  • Implement data security and access control mechanisms
  • Develop a Data Governance framework aligned with business objectives
  • Use industry tools for metadata management and data cataloging
  • Manage data privacy and regulatory compliance effectively

Who is Data Governance Training for?

  • Data Governance Professionals – Managing data policies and compliance
  • Data Analysts & Data Scientists – Ensuring data quality and governance
  • IT & Security Managers – Implementing secure and governed data systems
  • Business Leaders & CDOs (Chief Data Officers) – Driving data strategy and compliance
  • Compliance & Legal Teams – Understanding data privacy regulations
  • Data Architects & Engineers – Designing scalable governance frameworks 

What are the prerequisites for Data Governance Training?

  • Basic understanding of data management and databases
  • Familiarity with data privacy regulations (GDPR, CCPA, HIPAA) is helpful but not required
  • Experience in data analytics, data science, or IT governance is a plus

Available Training Modes

Live Online Training

3 Days

Self-Paced Training

8 Hours

Course Outline Expand All

Expand All

  • Definition and importance of Data Governance
  • Key principles: accountability, transparency, compliance, and integrity
  • Benefits: improved data quality, security, and decision-making
  • Governance frameworks and industry standards (e.g., DAMA, DCAM)
  • Real-world case studies of governance success/failure
  • Data Governance Office (DGO) structure
  • Roles: Data Owners, Data Stewards, Data Custodians, and Governance Council
  • Responsibilities of business vs. IT teams
  • Building cross-functional governance teams
  • Activity: Mapping governance roles to organizational structure
  • Data Security in Governance: access control, encryption, compliance
  • Implementation Steps:
  • Assess current data maturity
  • Define policies and standards
  • Establish governance framework
  • Deploy tools and processes
  • Monitor, measure, and improve
  • Governance Tools: Collibra, Informatica, Talend, Alation, Atlan
  • Best Practices:
  • Start small and scale gradually
  • Balance control with flexibility
  • Ensure executive sponsorship
  • Regularly review and audit data policies
  • Activity: Governance implementation roadmap
  • Differences between on-premises and cloud governance
  • Challenges: data residency, multi-cloud complexity, vendor lock-in
  • Cloud provider governance tools (AWS Lake Formation, Azure Purview, GCP Data Catalog)
  • Securing cloud data: IAM, encryption, compliance monitoring
  • Cloud governance policies for cost optimization and security
  • Case study: Implementing governance in a hybrid environment

Who is the instructor for this training?

The trainer for this Data Governance Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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