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Microservices, Apache Kafka, and Domain-Driven Design

Confluent

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. In these projects, microservice architectures use Kafka as an event streaming platform. Microservices.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

Some examples of model deployment in Kafka environments are: Analytic models (TensorFlow, Keras, H2O and Deeplearning4j) embedded in Kafka Streams microservices. He is regular speaker at international conferences such as JavaOne, O’Reilly Software Architecture or ApacheCon, and he writes articles for professional journals.

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Real-Time Analytics and Monitoring Dashboards with Apache Kafka and Rockset

Confluent

Kai’s main area of expertise lies within the fields of big data analytics, machine learning, integration, microservices, Internet of Things, stream processing, and blockchain.

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

Confluent

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. Microservices, Apache Kafka, and Domain-Driven Design (DDD) covers this in more detail. A key challenge, however, is integrating devices and machines to process the data in real time and at scale.

IoT 20
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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly Media - Ideas

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. The term “microservices” was at No. Stream” itself was No.