🌐 Distributed Systems

📚 The Absolute Best Book: Designing Data-Intensive Applications

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1. ✅ Reliable, Scalable, and Maintainable Applications
2. ✅ Data Models and Query Languages
3. Storage and Retrieval
4. Encoding and Evolution
5. Replication
6. Partitioning
7. Transactions
8. The Trouble with Distributed Systems
9. Consistency and Consensus
10. Batch Processing
11. Stream Processing
12. The Future of Data Systems

📖 Access the full book here

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🎓 MIT's Distributed Systems Course

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8/20 lectures completed

🔗 Watch the full course

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📘 High-Quality Resources

• 📑 Dynamo: Amazon's Highly Available Key-value Store
• 🛢 Tabular Comparison of Key Value Stores

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💻 Practical Learnings

• ✅ Kubernetes: A Basic Overview
• ✅ Systems Design Interviews - Alex Xu

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📊 Learning Roadmap

graph TD
    A[Start] --> B[designing-data-intensive-applications Book]
    B --> C[MIT Course]
    C --> D[High-Quality Resources]
    D --> E[Practical Learning]
    E --> F[Advanced Topics]

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Happy learning! May your distributed systems knowledge scale infinitely! 🚀