Canvas CloudAI
Google Cloud Platform
Featured
Intermediate

Business Intelligence Data Platform

Build a real-time analytics pipeline like Google's LaunchMyBakery demo

~20 min(6h traditional)
BigQuery
Cloud Storage
Maps API
Cloud Functions

Create a complete business intelligence platform using BigQuery for data warehousing, Cloud Storage for data lakes, and Maps API for location analytics. Perfect for demonstrating data engineering skills to employers.

In this hands-on project, you'll build a production-ready business intelligence platform inspired by Google's LaunchMyBakery demo. You'll learn to design data pipelines, implement real-time analytics, and create actionable business insights. What You'll Build:
  • Data ingestion pipeline using Cloud Storage
  • BigQuery data warehouse with optimized schemas
  • Location-based analytics with Maps API integration
  • Real-time dashboard components with Pub/Sub
  • MCP-powered AI analytics agent for natural language data queries
Real-World Skills: This project demonstrates the exact skills that data engineering and analytics roles require. You'll work with the same tools used by companies like Spotify, Twitter, and thousands of startups.

Skills You'll Learn

  • Data warehousing with BigQuery
  • ETL pipeline design
  • Cloud Storage management
  • Location-based analytics
  • Data governance and IAM

What You'll Build

  • A complete BI data platform architecture
  • Professional documentation for your portfolio
  • Shareable diagram showing your cloud expertise
  • Terraform code for deployment

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