Phase 4: Data Architecture
Phase 4: Data Architecture
In this phase, we learn how to design the data layer of our applications, focusing on robust ORMs and high-speed data transformations.
🗺️ Learning Path
- Data Transformation: From Pandas to Polars and DuckDB for production-scale analytics.
- ORMs & Typing: Using SQLAlchemy and SQLModel for robust, typed database interactions.
🥅 Goals
- Build type-safe database layers.
- Master production-grade data transformations.
- Efficiently manage data pipelines between Python and SQL databases.