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Real-time Data Systems
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This book teaches real-time data systems in simple language from beginner to production streaming architecture. It covers event streams, Kafka, time semantics, stateful processing, reliability, and how to operate real-time pipelines.
Level: intermediateLanguage: EN EnglishRating: 0Reviews: 0
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01Chapter 1: Introduction to Real-Time Data Systems02Chapter 2: Events, Streams, and Messaging Concepts03Chapter 3: Kafka, Topics, and Consumer Groups04Chapter 4: Pulsar, Queues, and Alternative Streaming Platforms05Chapter 5: Schema Management and Data Contracts06Chapter 6: Stream Processing and Stateful Operators07Chapter 7: Windows, Watermarks, and Time Semantics08Chapter 8: Exactly-Once Thinking and Idempotency09Chapter 9: Backpressure, Retries, and Reliability10Chapter 10: Storage Layers for Real-Time Analytics11Chapter 11: Monitoring Streaming Pipelines12Chapter 12: Security and Multi-Tenant Streaming13Chapter 13: Serving Real-Time Features and Dashboards14Chapter 14: Cost and Capacity Planning for Streams15Chapter 15: Capstone: Build a Real-Time Pipeline16Chapter 16: Capstone: Operate It Under Load17Appendix A: Commands and Workflow Cheat Sheet18Appendix B: Reference Architectures and Patterns19Appendix C: Common Mistakes and Fixes20Appendix D: Best Practices Summary
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