fabric-arcade 0.1.2

🎮 Learn Microsoft Fabric by Playing - Gamified tutorials and demos

🎮 Fabric Arcade

Learn Microsoft Fabric by Playing - A gamified catalog of projects to learn Real-Time Intelligence, Data Engineering, Power BI and Data Science through fun experiences.

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🚀 Quick Start (Fabric Notebook)

Just 3 lines of code to install a complete learning environment in your Fabric workspace!

# Cell 1 - Install the package
%pip install -q fabric-arcade

# Cell 2 - Import and explore
from fabric_arcade import arcade

# List all available games
arcade.list()

# Cell 3 - Install a game in your current workspace!
arcade.install("fabric-racing-game")

That's it! The game assets (Eventhouse, KQL Database, tables, notebooks) are automatically created in your workspace.

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🎯 What You Learn

Instead of boring technical tutorials, you learn by building:

Game	You Learn	Workloads
🏎️ Fabric Racing Game	Custom Endpoints, JSON mapping, streaming dashboards	RTI
🚀 Mission Artemis 2	Real-time telemetry, multi-table streaming, video sync	RTI, DE
⚽ Sports Tracker	ML predictions on streaming data	RTI, DS
🏰 Quest Data Pipeline	Medallion architecture (Bronze/Silver/Gold)	DE, DF
🎯 Target Practice	Eventstream → Eventhouse basics	RTI

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📋 Requirements

Requirement	Detail
Fabric Capacity	F2 or higher (trial works!)
Workspace	Any workspace where you have Contributor access

No local installation needed - everything runs inside Fabric notebooks!

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🎮 API Reference

arcade.list()

Display all available games with their difficulty and duration.

arcade.info(game_id)

Show detailed information about a specific game.

arcade.info("fabric-racing-game")

arcade.install(game_id, workspace_id=None)

Install a game in a workspace. If workspace_id is not provided, uses the current notebook's workspace.

# Install in current workspace
arcade.install("fabric-racing-game")

# Install in a specific workspace
arcade.install("fabric-racing-game", workspace_id="your-workspace-guid")

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🎲 Game Catalog

Game	Type	Difficulty	Duration	Status
🏎️ Fabric Racing Game	Mission	⭐⭐	30 min	✅ Available
🚀 Mission Artemis 2	Mission	⭐⭐⭐	45 min	✅ Available
⚽ Sports Tracker	Challenge	⭐⭐	25 min	🔜 Coming Soon
🏰 Quest Data Pipeline	Mission	⭐⭐⭐	40 min	🔜 Coming Soon
🎯 Target Practice	Challenge	⭐	15 min	🔜 Coming Soon

Workload Legend:

• RTI = Real-Time Intelligence (Eventstream, Eventhouse, KQL)
• DE = Data Engineering (Spark, Lakehouse, Notebooks)
• DS = Data Science (ML Models, Predictions)
• DF = Data Factory (Pipelines, Dataflows)
• PBI = Power BI (Reports, Dashboards)

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🛠️ Local Development (CLI)

For contributors or local testing:

# Clone and install
git clone https://github.com/maenglar78/fabric-arcade.git
cd fabric-arcade
pip install -e .

# Login to Azure
az login

# Use CLI
arcade list
arcade install fabric-racing-game -w "My Workspace"

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🤝 Contributing

Want to create a new game? See CONTRIBUTING.md.

Project Structure

catalog/
└── my-new-game/
    ├── manifest.json       # Game metadata
    ├── notebooks/          # Fabric notebooks
    ├── schemas/            # KQL table schemas
    └── eventstream/        # Eventstream definitions

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📜 License

MIT License - see LICENSE for details.

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Made with ❤️ for the Fabric Community

"Data is more fun when you're playing with it!"