Webinare mit Confluent

In this demo webinar, learn how Confluent and Databricks together accelerate the path from real-time data to governed, analytics-ready tables, and AI insights. Learn how to easily access high-quality streaming data in Databricks, available on hand as Delta Lake or Iceberg tables in a few clicks.

Explore the current landscape of stream processing. Learn what capabilities it unlocks for dev teams, hear real-world stories, and discover what's next for real-time data architectures.

Join our experts as they share insights and customer examples from executive roundtable discussions, providing a clear path to building a strategy that delivers trustworthy, real-time data. short description - 300 character limit

Learn how to build, deploy, and orchestrate event-driven Streaming Agents on Apache Flink® and provide fresh context for agents to monitor and autonomously act on real-time operations. See a demo tutorial with Flink, Claude LLM, tool calling with Anthropic's Model Context Protocol (MCP), embeddings and vector search for agentic RAG with MongoDB.

Agents are only as good as the context they run on – and many fall short because of stale, siloed data and unscalable frameworks. Learn how Confluent and Databricks provide a complete foundation for agents that can learn, act, and adapt on fresh contextualized data at enterprise scale, making intelligent automation finally production ready. See a demo tutorial and get your questions answered with AI experts Sean Falconer, Britton LaRoche, and Brenner Heintz.