Confluent

FEBRUARY 6, 2019

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.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Confluent

JUNE 26, 2019

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.

Microservices 109

Microservices Software Review Technical Review Architecture 109

Confluent

OCTOBER 10, 2019

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

IoT 20

IoT Internet Weak Development Team Scalability 20

Confluent

SEPTEMBER 26, 2019

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.

Analytics 21

Analytics Serverless Blockchain Microservices 21

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “microservices” was at No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8