- Focuses on building and managing data infrastructure, not analytics.
- Emphasizes pipelines, orchestration, and storage systems.
- Covers streaming and batch data workflows instead of modeling.
- Prepares learners to make data usable for data scientists and analysts.
- Complements but does not overlap heavily with machine learning or AI courses.
