Course notes and study guide for the DeepLearning.AI Data Engineering Professional Certificate.
Think like a data engineer - lifecycle, undercurrents, cloud platforms, and architecture fundamentals.
Source systems, ingestion patterns, DataOps practices, and pipeline orchestration with Airflow.
Storage systems, warehouses, lakes, lakehouses, and query optimization techniques.
Data modeling for analytics and ML, Spark transformations, and data serving strategies.