Interacting with data (in motion) in the cloud

Logo
Presented by

Clement Escoffier, Red Hat Distinguished Engineer

About this talk

The popularity of AI features like machine learning and data services has created a need to collect data from multiple sources, like customer-facing websites, edge devices, databases, etc. This has increased the demand for high-performance stream processing, also known as "data in motion." Data in motion refers to digital information flowing in and out of the system components. It is essential for organizations that need to support a continuous, real-time flow of data to deliver rich, in-the-moment customer experiences and drive efficiency within business operations.In this talk, we will discuss different techniques for collecting data and mainly focus on how Quarkus, a Java Cloud-Native stack, lets you build Kafka-based event-driven architectures. Using a sample application, we will illustrate the concepts and common patterns and show how Quarkus eases the development and deployment of data-in-motion architectures on OpenShift.
Related topics:

More from this channel

Upcoming talks (3)
On-demand talks (98)
Subscribers (38261)
Welcome to Red Hat Partner Program Live - our BrightTalk Channel. This channel is home to partner-specific webinars provided to help you advance your customers’ success. To support our global partner ecosystem, our webinars are hosted live and then available on-demand after the live event. The open innovation ecosystem: The Red Hat partner ecosystem is a catalyst for open innovation. We connect partners with a thriving network of companies, expertise, and opportunity in order to serve customers, increase profitability, and win new business. We offer multiple paths to partnership and the flexibility to adapt as your business needs change. Visit https://connect.redhat.com/ to find out more.