Module 1: Introduction to Medallion Architecture
Overview of Structured Data Architectures
Medallion Layers: Bronze, Silver, Gold
Key Benefits
Module 2: Why Medallion Architecture
Modern Data Challenges
Key Advantages
Module 3: The Bronze Layer
Purpose of Raw Data Storage
Data Ingestion Methods
Common Challenges
Data Quality Checks
Module 4: The Silver Layer
Transforming and Unifying Data
Key Operations in Cleaning and Validation
Preparing Data for Analytics
Data Quality Checks
Module 5: The Gold Layer
Analysis-Ready Data Characteristics
Schema Design: Star and Data Marts
Data Quality Checks
Module 6: Advanced Concepts
Challenges in Implementation
Best Practices for Success
Beyond Gold: The Platinum Layer
Module 7: Implementation Tips
Start Small with Layers
Leverage Automation Tools
Continuous Refinement
Module 8: Final Thoughts
Ensuring Quality and Flexibility
Exploring Future Trends
Next Steps in Data Mastery
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