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Frustrated by data chaos & lagging insights? Download this report to explore research findings from 400+ data professionals surveyed on persistent data challenges, data landscape trends, and emerging approaches to boost data quality, lower costs, and modernize data architectures.
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.
Real-time analytics, AI, and modern applications all depend on data streaming—but building a managed streaming service from scratch isn’t easy. As a service or technology provider, you need to deliver this capability to your customers without the complexity, cost, and risk tied to homegrown Apache Kafka®. Enter: Confluent's OEM program.
Data streaming has given businesses the ability to move data in real time, but to stay competitive, they need to transform their architecture. See how you can benefit from a framework for building a Data Streaming Organization capable of turning data streams into innovation and business value.
Discover how data streaming transforms retail with real-time personalization, AI-driven automation, and supply chain agility. Learn from real use cases—like Migros—and see how leading brands are scaling innovation and customer experiences.
ISVs need data streaming to power modern applications, but building with open source Apache Kafka® adds complexity and slows innovation. This ebook explores how embedding Confluent’s enterprise-grade platform cuts time to market and reduces development overhead for building real-time products.