Streaming Meets Delta Lake: Unlock AI-Ready Tables with Confluent and Databricks

Accessing Kafka topics as Delta Lake or Iceberg tables for high-scale analytics and AI typically requires custom streaming pipelines with high-complexity and maintenance overheads.

Confluent Tableflow fundamentally reimagines existing stream-to-table pipelines to dramatically simplify access to high-quality operational data in analytical data estates. Through seamless integration, Confluent and Databricks together accelerates the path from real-time data to governed, analytics-ready tables, and AI insights.

Join this demo webinar to:

• Learn how Confluent Tableflow automatically materializes Kafka topics into Delta tables and registers them with Unity Catalog
• Walk through how the integration reduces ingestion complexity, enforce data governance, and make real-time data immediately usable for analytics, and AI
• Watch how Confluent and Databricks work together to accelerate AI workflows with Confluent Tableflow, Connect CDC, stream processing and Databricks Unity Catalog, Genie, and AI Agents

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