🌊 Delta Lake & Apache Iceberg Knowledge Hub

Building the definitive, community-driven knowledge ecosystem for modern data lakehouse technologies

Delta Lake Apache Iceberg Python 3.8+ Production Ready

Explore Features

Comprehensive Comparisons

Detailed side-by-side analysis of Delta Lake vs Apache Iceberg across time travel, schema evolution, partitioning, and performance characteristics.

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Battle-Tested Recipes

Production-ready code examples with automated validation, comprehensive testing, and reproducible environments.

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Learning Resources

Step-by-step tutorials, architecture patterns, and best practices for data lakehouse implementations.

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AI-Powered Curation

Machine learning-assisted content discovery, automated freshness checks, and intelligent documentation maintenance.

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Knowledge Quiz

Test your understanding of Delta Lake and Apache Iceberg with our interactive quiz and compete on the leaderboard.

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Community Driven

Gamified contribution system, diverse perspectives, and collaborative knowledge building for data engineers worldwide.

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Quality Assured

Automated testing, link validation, and continuous integration ensure reliable, up-to-date documentation.

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Code Recipes

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Test Coverage

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Documentation

Comprehensive guides and references

Explore detailed documentation covering architecture patterns, migration strategies, and implementation best practices for modern data lakehouses.

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Code Examples

Production-ready implementations

Access validated code recipes for common data lakehouse scenarios including schema evolution, time series analytics, and real-time processing.

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Community

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Connect with data engineers worldwide, contribute to the knowledge base, and participate in discussions about data lakehouse technologies.

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🎯 What You’ll Find Here

📊 Comprehensive Comparisons

Our feature comparison matrix provides an unbiased, detailed analysis of:

• Time Travel and Version Control
• Schema Evolution Strategies
• Partitioning and Clustering
• Compaction and Optimization
• Concurrency Control Mechanisms
• Query Performance Characteristics
• Ecosystem Integration

💻 Battle-Tested Code Recipes

Every recipe in our code-recipes directory follows a standardized structure:

• Problem Definition: Clear use case description
• Solution: Fully commented, production-ready code
• Dependencies: Reproducible environment specifications
• Validation: Automated tests to verify functionality

🎓 Learning Resources

• Tutorials: Hands-on guides for common scenarios
• Best Practices: Industry-tested patterns and anti-patterns
• Architecture Guides: Reference implementations for various scales

🚀 Getting Started

For Learners

1. Browse the feature comparison matrix to understand the differences
2. Explore code recipes for your specific use case
3. Follow tutorials for step-by-step implementations

For Contributors

1. Read our Contributing Guide
2. Check open issues for areas needing help
3. Review the Code of Conduct
4. Submit your first pull request!

📈 Repository Stats

📝 License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

🤝 Community & Support

• Issues: Report bugs or request features
• Discussions: Join community discussions
• Pull Requests: Contribute code or documentation

🙏 Acknowledgments

This knowledge hub is made possible by our amazing community of contributors. Thank you to everyone who has helped make this resource valuable for data engineers worldwide!

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