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Streaming & Real-Time Data

Data that never stops: events everywhere, pub/sub decoupling, log-based streaming (Kafka concepts), tumbling and sliding windows, watermarks and late data, stream joins, delivery semantics, real-time aggregations and alerting, the lambda architecture, and a live metrics capstone.

12 lessons about 4 hours Medium
Learn it by writing it.

Every lesson runs real code in your browser, checked the moment you submit. No installing anything, no setup, no waiting.

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What this course covers

  1. Events Everywhere
  2. Pub/Sub: Decoupling Producers and Consumers
  3. Log-Based Streaming (Kafka Concepts)
  4. Windows: Tumbling and Sliding
  5. Watermarks and Late Data
  6. Stream Joins
  7. Delivery Semantics
  8. Real-Time Aggregations
  9. Pattern Detection on Streams
  10. Real-Time Dashboards and Alerting
  11. The Lambda Architecture
  12. Capstone: Live Metrics Pipeline

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