Systems | Development | Analytics | API | Testing

Real-time data streaming is shaking up everything we know about modern data systems. If you’re ready to dive in but unsure where to begin, no worries. That’s why we’re here. Our first episode breaks down the basics of data streaming—from what it is, to its pivotal role in processing and transferring data in a fast-paced digital environment. Your guide is Tim Berglund, VP of Developer Relations at Confluent, where he and his team work to make data streaming data and its emerging toolset accessible to all developers.

Data streaming shifts the focus from storing data to acting on it in real-time—Tim Berglund, Confluent’s VP of Developer Relations, breaks down how.

Learn how Audacy, a leading multi-platform audio content company, transformed its operations with Confluent’s real-time data streaming platform, delivering personalized audio experiences to 200 million listeners. By moving from complex point-to-point systems to a seamless data streaming architecture, Audacy has streamlined operations and can now focus on delivering the personalized content, dynamic advertising, and data-driven insights they need to stay ahead in a demanding market.

How do you bring real-time data to AI and machine learning models? Kai Waehner, Field CTO at Confluent, explains how to use Flink for real-time model inference to power use cases for generative AI, real-time analytics, predictive maintenance, and more.

Discover how Confluent’s Data Streaming Platform and Microsoft Azure are revolutionizing the retail industry. In this video, learn how real-time data streaming and AI-powered insights can: Explore how Confluent and Azure’s seamless integration enables retailers to break down data silos, streamline operations, and accelerate innovation with scalable, enterprise-ready solutions. Whether you’re looking to modernize your retail infrastructure, enhance customer engagement, or drive operational efficiency, this video is your guide to leveraging AI and real-time data streaming.