Data Modelling Interview Vault

Master data modeling from fundamentals to advanced warehouse design with this comprehensive field guide built for Data Engineers, Analytics Engineers, and aspiring Data Architects.

What you'll get:

• Complete data modeling fundamentals
• Conceptual, Logical & Physical data models
• Normalization (1NF–BCNF) explained with examples
• Keys, relationships & database design principles
• OLTP vs OLAP architecture
• Star Schema vs Snowflake Schema
• Fact & Dimension table design
• Slowly Changing Dimensions (SCD Types 0–6)
• Grain selection and best practices
• Medallion Architecture (Bronze, Silver, Gold)
• Data Vault and modern Lakehouse modeling
• Databricks & Delta Lake design patterns
• Production-ready SQL & DDL examples
• Real-world case studies and modeling exercises
• Common modeling mistakes and optimization tips
• 50+ Data Modeling interview questions with explanations

Perfect for:

• Data Engineers
• Analytics Engineers
• BI Developers
• Data Analysts transitioning to Engineering
• Anyone preparing for Data Engineering interviews

This guide is designed to help you build production-ready data models, understand warehouse architecture, and confidently answer real interview questions used by top tech companies.