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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 takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

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Time To Look At These Trending App Ideas Before Planning the Development

Xicom

Today, it is the Reality integrated into many industry verticals including Education, Healthcare, Air and Space, Marketing, Travel, Automotive, Real-Estate, Journalism etc. Blockchain. 9 in 10 government firms are reported to plan to invest in Blockchain landscape. For instance, VR helps people to overcome their fears.

Trends 64
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Precision Medicine: How Healthcare Providers Can Prepare for the Future of Medicine

Altexsoft

You don’t see it screaming at you from headlines, startups are not using it on the landing pages, and it’s slowly climbing up Garner’s Hype Cycle for Healthcare Providers , overpassed by medical IoT, Blockchain, and analytics. It exists on the pages of peer-reviewed medical journals and research papers. Evidence of PM success.

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

Confluent

Apache Kafka is an event streaming platform that combines messages, storage, and data processing. Prior to Rockset, Shruti led product management for Oracle Cloud, with a focus on AI, IoT, and blockchain. Apache Kafka as an event streaming platform for real-time analytics.

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Microservices, Apache Kafka, and Domain-Driven Design

Confluent

Apache Kafka combines messaging and storage so that different producers and consumers are fully decoupled: The server side (Kafka broker, ZooKeeper, and Confluent Schema Registry) can be separated from the business applications. So why is Kafka such a good fit? Apache Kafka and domain-driven microservices.

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

Confluent

Machine learning plays a huge role in many of these use cases, regardless of the industry, and you can read Using Apache Kafka to Drive Cutting-Edge Machine Learning for more insights. Long-term storage and buffering. Example: Severstal. Apache Kafka as an event streaming platform. High throughput. Large scale.

IoT 20