Resources

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.

Why an event-driven data mesh built on Apache Kafka provides the best way to access important business data and unify the operational and analytical planes.

Learn the challenges of traditional messaging middleware, hindering innovation, low fault tolerance at scale, ephemeral persistence limiting data usage for analytics, and soaring technical debt and operational costs.

Download this Forrester study to understand the economic benefits of Confluent Cloud.

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.

Discover a technical playbook for data engineers, architects, and developers on implementing a Shift Left approach with data streaming to optimize lakehouse and warehouse data ingestion.

Learn about the components of Confluent Enterprise, key considerations for production deployments, and guidelines for selecting hardware or deployment with different cloud providers.

Are you an IT leader looking to build data products that matter? In this action-oriented guide, you’ll learn a straightforward, strategic framework for quickly choosing the most valuable data products for your business—without getting bogged down in a long, costly analysis.

Download the “Transform Your Data Pipelines, Transform Your Business: 3 Ways to Get Started” ebook to take a deep dive into the challenges associated with legacy data pipelines and how streaming pipelines can help you reinvent the way data flows through—and is accessed—in your organization.