The Challenge
Teams need hands-on practice building a data processing pipeline with streaming data, ETL, analytics, and visualization on GCP.
What You'll Build
- → Pub/Sub for streaming data ingestion
- → Cloud Functions for data processing
- → BigQuery for analytics
- → Dataflow for batch processing
- → Visualization dashboards
Try This Prompt in Pulumi Neo
Edit the prompt below and run it directly in Neo to deploy your infrastructure.
Best For
Use this guide to build a data pipeline. Perfect for learning streaming data, ETL, and GCP analytics services.
Learning Objectives
This guide covers:
- Streaming Data - Pub/Sub messaging
- Data Processing - Functions and Dataflow
- Analytics - BigQuery querying
- Visualization - Dashboard creation
- Automation - Scheduled jobs
Real-world scenario for data pipelines!