Systems | Development | Analytics | API | Testing

Power AI-driven decision-making with Confluent’s Data Streaming Platform and Databricks’ Data Intelligence Platform. Watch this step-by-step demo to learn how to build a real-time social media AI chatbot that instantly engages with customer posts, like product reviews. New to Confluent? Experience unified Apache Kafka and Apache Flink with a free trial.

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.

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.

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.

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.

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.

In this episode of the Google Cloud Marketplace Marvels series, theCUBE Research’s John Furrier talks to Shaun Clowes, CPO of Confluent, and Stephen Orban, VP of migrations, ISVs, and marketplace, Google Cloud at Google. Clowes highlights the strategic partnership with Google Cloud, emphasizing seamless integration, scalable solutions and flexibility in marketplace consumption models. Together, they explore the platform’s impact on AI initiatives, enterprise analytics and rapid IT modernization, demonstrating how businesses can build next-generation data infrastructures one step at a time.

A short live demo on how to easily migrate from Zookeeper to Kraft with Confluent for Kubernetes (CFK) in 4 simple steps.

Producer retries in Apache Kafka can make or break message delivery, especially during broker events like updates or failures. Use the idempotent producer, and configure delivery timeouts, in order to avoid common pitfalls that lead to lost messages or broken ordering.

Picking the wrong partition key in Apache Kafka? That’s a fast track to performance headaches—think unbalanced loads, slowdowns, and broken message ordering. Choosing the right partitioning strategy keeps your data flowing smoothly and avoids hot partitions.