Data Governance & Data Management
Learn Data Governance & Data Management with practical skills in data governance, data quality, metadata management, privacy, compliance, and enterprise data strategy.
Course Overview
Course Modules Module 1: Data Governance Fundamentals Data Governance Framework Data Stewardship Roles & Responsibilities DAMA DMBOK Overview Governance Policies Data Council Structure Module 2: Data Quality Management Data Quality Dimensions Data Profiling Data Cleansing Data Quality Metrics Master Data Management Duplicate Detection Module 3: Data Cataloging & Lineage Data Catalog Tools Metadata Management Data Lineage Tracking Business Glossary Apache Atlas Collibra & Alation Module 4: Data Privacy & Compliance GDPR Fundamentals CCPA Compliance Data Classification Access Control & Entitlements Data Retention Policies Right to Erasure Module 5: Data Architecture & Strategy Data Strategy Development Data Mesh Architecture Data Products DataOps Principles Enterprise Data Architecture Cloud Data Governance Module 6: Capstone Project Governance Framework Design Data Quality Assessment Catalog Implementation Policy Documentation Compliance Review Roadmap Development Capstone Project Design a comprehensive data governance framework for an organization, including policies, data catalog, and quality metrics.
Learning Outcomes
Establish and implement data governance frameworks.
Manage data quality across enterprise data systems.
Build and maintain data catalogs and metadata.
Ensure compliance with GDPR, CCPA, and other regulations.
Develop data strategies and data mesh architectures.
Prerequisites
Participants should have: Experience in data analytics or data engineering Understanding of business intelligence concepts Familiarity with database management basics
Enterprise Learning
Tailored learning experiences for enterprises, institutions, and professional cohorts.