Data Engineering

Data architecture fundamentals: the staging, core, and semantic layers, why architecture is not tools, and how batch and streaming data land.

Analytics engineering fundamentals: the role between data engineering and analysis, ELT, the transformation layer, testing, and the semantic layer.

Build a working knowledge graph in one pure-Python file. Store facts as triples, then query and traverse them, with no database and no libraries.

A knowledge graph stores data as entities and relationships, not rows. Learn what it is, how it works, and when it's useful.

Learn core data engineering concepts, workflows, and applications. Understand how to transform raw data into reliable, accessible information.