8.4 Wrap-up

What You've Built

Congratulations! You've created a production-ready data warehouse with:

✅ Bronze Layer: Raw daily data ingestion from NYC Open Data API

✅ Silver Layer: Cleaned, enriched data with business metrics

✅ Gold Layer: Star schema with 3 dimensions and 1 fact table

✅ Incremental Processing: MERGE logic for daily updates

✅ Data Quality: Null handling and consistent key generation

✅ Analytics Ready: Optimized for business intelligence queries

Key Skills Demonstrated

• Medallion Architecture: Bronze → Silver → Gold data flow

• Dimensional Modeling: Star schema design with fact and dimension tables

• Data Engineering: ETL/ELT pipeline orchestration in Mage

• SQL Expertise: Complex transformations, MERGE statements, CTEs

• Data Quality: Handling nulls, deduplication, calculated metrics

• Hash-Based Keys: Deterministic surrogate key generation using SHA256

🚀 Bonus Challenges (Optional)

Want to take it further? Try these advanced exercises:

1. Add a Date Dimension: Create dim_date with fiscal calendars and holiday flags

2. Type 2 SCD: Modify dim_agency to track historical changes

3. Aggregate Tables: Create summary tables for common queries

4. Data Quality Tests: Add assertions to validate data completeness

5. Performance Optimization: Add partitioning and clustering to BigQuery tables

6. Alerting: Configure Mage alerts for pipeline failures or data anomalies

We Want Your Feedback!

Your experience matters! Please take 5 minutes to complete our Mage Academy feedback survey. Your insights help us:

• ✅ Improve course content and learning materials

• ✅ Understand which topics need more depth or clarity

• ✅ Enhance the hands-on project experience

• ✅ Make Mage Academy even better for future students

Take the Survey Now

Your feedback is anonymous and helps shape the future of data engineering education. We read every response and use your suggestions to continuously improve the academy.

🌟 What's Next?

Now that you've completed Mage Academy, here are some ways to continue your journey:

1. Join the Community: Connect with other Mage users on Slack to share projects and get help

2. Explore Advanced Topics: Check out streaming pipelines, dbt integration, and other academy courses (Coming Soon!)

3. Build Your Portfolio: Customize this project with your own data sources and share it on GitHub

4. Get Certified: Coming Soon!

5. Give Back: Help future students by answering questions in the community

   
   

Thank you for being part of Mage Academy. Keep building amazing data pipelines! 🚀

— The Mage Team