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Table of Contents
Table of Contents
Transform raw data into actionable insights with streaming technology that processes information as it arrives.
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Organizations face increasing pressure to react to events in milliseconds, not hours. Streaming systems enable real-time analytics, fraud detection, and personalized experiences that batch processing cannot deliver.
Explore the Free Section on Streaming Technology Systems
What You Will Learn
- 1 Understand the fundamentals of streaming data and its characteristics.
- 2 Learn stream processing concepts including time semantics and windowing.
- 3 Explore data ingestion and transport mechanisms like message brokers.
- 4 Implement stream storage and state management techniques.
- 5 Apply stream analytics and real-time query patterns.
- 6 Design fault-tolerant streaming systems with exactly-once semantics.
- 7 Use stream processing frameworks such as Apache Flink and Kafka Streams.
- 8 Build event-driven microservices using CQRS and event sourcing.
- 9 Monitor and observe streaming pipelines for reliability.
- 10 Explore advanced topics like machine learning on streams and IoT integration.
What's Included
Core self-paced training
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Streaming Technology Systems