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Conclusion : Streaming model workflows

Discover how to build scalable streaming model pipelines for real-time machine learning using Kafka and PubSub. Learn the challenges of low-latency operations and approaches like precomputing aggregates, as well as trade-offs between self-managed and managed streaming platforms.

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Streaming model pipelines are useful for systems that need to apply ML models in real-time. To build these types of pipelines, we explored two message brokers that ...