Resources
Technical guides, frameworks, and reference material.
Growth Accounting: A Data Engineer's Framework
How to model user state transitions for retention analysis, churn prediction, and growth metrics using simplified state machines.
Data Engineer Metrics Interview Guide
A comprehensive framework for metrics strategy questions, data modeling, and business analysis in tech interviews.
Data Modeling for Interviews: Facts, Dimensions & Design Patterns
A practical guide to dimensional modeling questions in data engineering interviews - star schemas, SCD types, and design exercises.
Behavioral Interview SCORE Framework
A structured approach to behavioral interviews - the SCORE framework, story banking, and handling failure questions.
Data Engineering Metrics Interview Guide
How to answer product sense questions in data engineering interviews - frameworks, examples, and practice problems.
Kimball vs Inmon: Choosing a Data Warehouse Architecture
A practical comparison of Bill Inmon's top-down enterprise approach versus Ralph Kimball's bottom-up dimensional modeling for building data warehouses.
Dimensional Modeling Fundamentals: Facts, Dimensions, and Snapshots
Core concepts from Kimball's Dimensional Warehouse Toolkit - star schemas, fact table types, and the enterprise bus architecture.