The Shift to Real-Time Data Streams
Batch processing data once a day is no longer sufficient for dynamic businesses. Real-time event streaming allows products to act on data immediately.
Kafka Architectural Pillars
- Publish-Subscribe Topics: Decouple data producers (web logs, transactional servers) from consumers.
- Partition Scaling: Distribute data loads across multiple nodes to maintain performance.
- Fault Tolerance: Replicate streams across server clusters to prevent data loss.
Deploying Apache Kafka builds resilient foundations for streaming telemetry, financial transactions, or user actions.
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