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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

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Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT

Confluent

Confluent Platform and Confluent Cloud are already used in many IoT deployments, both in Consumer IoT and Industrial IoT (IIoT). Most scenarios require a reliable, scalable, and secure end-to-end integration that enables bidirectional communication and data processing in real time. Most MQTT brokers don’t support high scalability.

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