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Google Cloud Data & AI: End-to-End Demonstrations

Welcome to the central hub for fully-functional, deployable Data and AI demonstrations on Google Cloud.

Tired of slide decks? This repository is your launchpad for hands-on experience. Each demo here represents a production-grade architecture solving real-world challenges, built entirely with open-source code. You can deploy the projects hosted here directly into your own Google Cloud environment with just a few commands.

Explore, customize, and see what's possible with Google Cloud's unified data and AI platform.


Data Analytics Golden Demo

The definitive, end-to-end showcase of Google Cloud's data platform.

Data Analytics Golden Demo Architecture Diagram This comprehensive demo covers everything from building a multi-cloud data lakehouse to advanced machine learning and real-time streaming analytics. It's the perfect starting point to explore the full breadth of our data services in a single, integrated solution.

Key Features:
  • Multi-Cloud Analytics (BigQuery Omni)
  • AI/ML in BigQuery (BQML & Vertex AI)
  • Real-Time Streaming & Data Lakehouse
  • BigLake, Iceberg & Delta Lake Support

Explore the Golden Demo →

Agentic Beans: Autonomous Data Agents

Step into the future of data analytics with autonomous AI Agents.

Agentic Beans Architecture Diagram This demo showcases a new generation of autonomous AI Agents that can understand natural language, forecast trends, and even find and fix broken data pipelines without human intervention. See how agents can transform data management from reactive to proactive.

Key Features:
  • Self-Healing Data Pipelines
  • Natural Language Querying (NL2SQL)
  • AI-Driven Forecasting with TimesFM
  • Metadata-Powered Intelligence

Unleash the Agents →

BigQuery Data Governance with Dataplex

Master your data universe with unified, intelligent governance.

Dataplex Governance Lineage Diagram This demo provides a hands-on deep dive into establishing robust data governance. Learn to automatically discover, profile, and secure your data, ensuring trust and clarity from raw ingestion to curated insights across your entire data estate.

Key Features:
  • End-to-End Data Lineage
  • Automated Data Profiling & Quality
  • Sensitive Data Discovery (DLP)
  • Unified Catalog & Aspect-Based Governance

Govern Your Data →

More Demos from the Google Cloud Team

Explore these powerful, standalone demonstrations hosted in their own repositories.

Chocolate AI

A GenAI-powered marketing analytics platform.

Chocolate AI See how Generative AI can revolutionize marketing analytics. This demo showcases a complete solution for creating personalized campaigns, generating content, and deriving real-time insights from customer data, all powered by Gemini, Imagen, and BigQuery.

Key Features:
  • Generative AI for Marketing (Gemini, Imagen)
  • Real-Time Analytics (Managed Kafka)
  • Vector Search for Semantic Insights
  • Graph Analytics with Spanner

Launch Chocolate AI →

Data Beans

A next-generation GenAI demo for hyper-personalization.

Data Beans Built for executive and technical audiences, this multi-level demo uses a fictional coffee company to showcase data-driven campaign optimization, automated content creation, and real-time insights for creating hyper-personalized customer experiences.

Key Features:
  • GenAI-Powered Personalization
  • Multi-modal Data Analysis (Vision, Audio)
  • Interactive Analytics (Looker, BQ Studio)
  • Synthetic Data Generation

Brew Up Data Beans →

Getting Started

  1. Prerequisites: You will need a Google Cloud project with appropriate permissions (typically Owner or Org Admin roles) and a configured billing account.
  2. Choose a Demo: Click on one of the demos above to navigate to its dedicated directory or external repository.
  3. Follow the Guide: Each demo contains its own README.md with detailed, step-by-step deployment instructions.

These demos are designed to be robust starting points. Feel free to clone the repository, adapt the Terraform scripts, and customize the logic to fit your specific use cases.

Contributing

This is a living collection of demos, and we welcome contributions! If you have ideas for new features, find a bug, or want to improve a demo, please feel free to open an issue or submit a pull request.

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An end to end demo of Google's Cloud data and analytic stack.

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