Stop fumbling through system design interviews. Stop guessing how Netflix, Uber, and Spotify actually built their data platforms.

603 pages. 13 modules. 60+ lessons. 13 projects. 5 real-world case studies.

Master the 7-step design framework that separates candidates who get offers from those who don't. Go deep on data modeling, storage engines, batch & stream processing, warehouse & lakehouse architecture, ML platforms, feature stores, event-driven systems, monitoring, and cost optimization — with production-ready code and architecture diagrams throughout. The case studies reverse-engineer real systems: Netflix content analytics, Uber surge pricing, Spotify recommendations, Airbnb search, and Twitter's real-time feed. Not blog post summaries — actual schemas, data flows, and trade-off analysis.

You'll build 3 portfolio-ready projects: a production e-commerce pipeline, a real-time analytics platform, and a churn prediction system — with GitHub structure, docs templates, and interview presentation strategies.