Optional: Enriching with an LLM
Capstone orientation for the Data Track. Your team builds a cross-track web app in one monorepo. You own the batch data pipeline: fetch an external source, model it in dbt on Databricks, publish marts to the backend's analytics schema on a schedule (Airflow). Backend and frontend own the app; your interface to them is the mart contract.
<aside> 💡 "Week 1" here means the first calendar week of the project, not HYF curriculum Week 15. Week 6 is the demo.
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The project is the assessment (no quizzes). Deliverables and demo shape: Requirements and Deliverables. How to build: start at Project Ideas, then Architecture → stage chapters → Path A.
maindev / dev_<name> / analytics_dev only - prod via merge + scheduled runDo these before week-2 feature work on your own feed:
data/docs/dev_flow.mdStudents start at Project Ideas and Inspiration.
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