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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Developer-focused frameworks like Deeplearning4j: These frameworks are built for software engineers to build the whole machine learning lifecycle on the Java platform, not just model deployment and monitoring but also preprocessing and training. These standards have pros and cons. Some people like and use them; many don’t.

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

Confluent

Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. In the same way, industrial protocols are a book with seven seals for software engineers. Innovative development: new and different technologies and concepts can be used depending on the flexibility and requirements of a specific use case.

IoT 20