Featured
Intermediate
Business Intelligence Data Platform
Build a production-ready analytics pipeline with GCP
~30 min(6h traditional)
Cloud Storage
BigQuery
Cloud Functions
Pub/Sub
Secret Manager
Please sign in to start this project.
Create a complete data analytics platform using Google Cloud services. Process, analyze, and visualize business data with BigQuery, Cloud Functions, and more.
In this project, you'll build a full-stack business intelligence platform for LaunchMyBakery,
a bakery chain looking to expand in Los Angeles. You'll learn to design data pipelines,
implement serverless ETL processes, and create analytics dashboards that drive real business decisions.
This hands-on project covers:
• Cloud Storage for data lake organization
• BigQuery for data warehousing and analytics
• Cloud Functions for serverless data processing
• Pub/Sub for event-driven architecture
• Secret Manager for secure API key storage
• Google Maps API integration for geospatial analytics
Skills You'll Learn
- Google Cloud Platform (GCP)
- BigQuery data warehousing
- Cloud Functions (serverless)
- Cloud Storage
- Pub/Sub messaging
- Secret Manager
- SQL analytics
What You'll Build
- Production-ready data warehouse
- Automated ETL pipelines
- Real-time analytics dashboards
- Secure credential management
- Scalable serverless architecture
Ready to Build?
Connect your cloud credentials and let our AI architecture generator create your project blueprint.
Sign In to Start