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All of our resources, all in one place. Search to find exactly what you're looking for or filter by the topic or type of content to get started.
Don't let outdated data architectures limit your competitive potential. This isn't just critical for survival, it's the pathway to competitive dominance. Download this strategic guide now to chart your organization's journey to a proactive, data-driven future.
This special edition of the Ultimate Data Streaming Guide explores how leading digital natives use data streaming to power intelligent automation, personalized customer experiences, and self-optimizing learning systems.
Explore how manufacturing and automotive leaders use data streaming to boost efficiency, enable real-time decisions, and drive innovation. This ebook shares key trends, use cases, and customer stories from BMW Group, PAUL Tech AG, and more. Download now to get inspired.
Explore how telecom providers use streaming to modernize OSS/BSS, deliver low-latency OTT, and monetize 5G. From Kai Waehner, Confluent’s Global Field CTO, this guide dives into real-time telecom innovation.
See how banks and financial institutions use real-time data streaming to modernize systems, enable instant payments, reduce fraud, and meet compliance needs. Authored by Kai Waehner, Confluent’s Global Field CTO.
Read this updated second edition of the guide to learn how data streaming enables real-time insights, event-driven architectures, and agile innovation. You’ll explore industry use cases, strategies, and new customer success stories for driving business growth, enhancing customer experiences, and optimizing operations.
Learn how to take full advantage of Apache Kafka®, the distributed, publish-subscribe queue for handling real-time data feeds.
How to effectively build and scale retrieval-augmented generation (RAG) for real-time Generative AI applications using Confluent’s Data Streaming Platform. Leverage connectors, Flink, and stream governance across 4 steps: data augmentation, inference, workflows, and post-processing.
A data streaming platform enables AI agents to operate dynamically, processing and acting on real-time events. Learn the anatomy of an agent, how to build singular to multi-agent systems, design patterns for scalable architectures, and real-world agentic AI applications.