Data Platform Pipeline Design

The chapters in this module, in reading order.

#	Chapter
00	Data Platform and Pipeline Design — The Five-Year-Old Version
01	Batch vs Stream for Data Platforms
02	Ingestion Patterns That Do Not Lie
03	Transformations with dbt and Spark
04	Orchestration with Airflow and Dagster
05	Warehouse vs Lakehouse Choices
06	Data Quality and Testing Layers
07	Lineage, Catalog, and Governance
08	Feature Stores for ML Platforms
09	Honest Admission About Data Platforms