| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1. Data Governance Master Class - Course Trailer.mp4 | 26.6 MB | ||
| 10. Part 1 - Customer MDM SSOT Problem - Databricks Genie AI Automation (Description).html | 1.4 KB | ||
| 10. Part 1 - Customer MDM SSOT Problem - Databricks Genie AI Automation.mp4 | 265.5 MB | ||
| 11. Part 2 - Customer MDM SSOT Problem - Databricks Genie AI Automation (Description).html | 1.3 KB | ||
| 11. Part 2 - Customer MDM SSOT Problem - Databricks Genie AI Automation.mp4 | 210 MB | ||
| 12. Global Regulations, Ethics and Governance Teams (Description).html | 1.3 KB | ||
| 12. Global Regulations, Ethics and Governance Teams.mp4 | 147.3 MB | ||
| 13. Why Data Governance Framework is Critical in the Age of AI (Description).html | 1.4 KB | ||
| 13. Why Data Governance Framework is Critical in the Age of AI.mp4 | 80.3 MB | ||
| 14. Data Governance Tools on Azure, AWS, GCP and Third Party When to Use What (Description).html | 1.4 KB | ||
| 14. Data Governance Tools on Azure, AWS, GCP and Third Party When to Use What.mp4 | 259.4 MB | ||
| 15. Thank You & Your Data Architect Journey Starts Now! (Description).html | 1.3 KB | ||
| 15. Thank You & Your Data Architect Journey Starts Now!.mp4 | 50.4 MB | ||
| 2. Start Here Course Overview & Instructor Introduction.mp4 | 120.9 MB | ||
| 3. Why this course is for you (Description).html | 1.2 KB | ||
| 3. Why this course is for you.mp4 | 182.2 MB | ||
| 4. What is Data Governance & Why it matters now (Description).html | 1.2 KB | ||
| 4. What is Data Governance & Why it matters now.mp4 | 185.2 MB | ||
| 5. Architecture & Technology in Practice 6 Real-World Governance Case Studies (Description).html | 1.3 KB | ||
| 5. Architecture & Technology in Practice 6 Real-World Governance Case Studies.mp4 | 132.2 MB | ||
| 6. Data Quality in the Real World - 6 Scenarios Every Data Professional Must know (Description).html | 1.3 KB | ||
| 6. Data Quality in the Real World - 6 Scenarios Every Data Professional Must know.mp4 | 350.6 MB | ||
| 7. Protecting Data at Scale 6 Industry Security & Compliance Examples (Description).html | 1.3 KB | ||
| 7. Protecting Data at Scale 6 Industry Security & Compliance Examples.mp4 | 165.1 MB | ||
| 8. The Human Side of Data 6 Ethics & People Governance Problems Solved (Description).html | 1.3 KB | ||
| 8. The Human Side of Data 6 Ethics & People Governance Problems Solved.mp4 | 306.3 MB | ||
| 9. Culture & Sustainability That Lasts 6 Real-World Governance Case Studies (Description).html | 1.3 KB | ||
| 9. Culture & Sustainability That Lasts 6 Real-World Governance Case Studies.mp4 | 170.5 MB | ||
| Bonus Resources.txt | 102.4 B |
Data Governance Masterclass: 30 Real-World Case Studies
https://WebToolTip.com
Published 6/2026
Created by Durga Patsa
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 15 Lectures ( 2h 44m ) | Size: 2.6 GB
Transition from Data Engineer to Data Architect with hands-on governance frameworks and industry examples
What you'll learn
⚡ Define Data Governance frameworks and apply them using 30 real-world industry case studies
⚡ Transition confidently from a Data Engineer role to a Data Architect role
⚡ Design enterprise data architecture with governance, quality and compliance at its core
⚡ Implement data lineage, metadata management, data cataloging and data stewardship strategies
⚡ Build and present a Data Governance roadmap for any organization and enables users to understand the importance of governance framework in the AI world
⚡ Apply data quality rules, ownership models and policy frameworks in real projects
⚡ Understand regulatory compliance including GDPR, CCPA and industry data standards
⚡ Master the skills needed to crack Data Architect interviews and take on leadership roles
Requirements
❗ Basic understanding of data engineering concepts like ETL, pipelines and databases. Familiarity with SQL and working with structured or semi-structured data. No prior Data Governance experience required — everything is taught from scratch
❗ An aspiration to transition their career from Data Engineer to Data Architect
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