Streaming Data to AI-Ready Tables: Tableflow for Delta Lake and Databricks Unity Catalog is Now Generally Available
Available On-Demand
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
Senior Product Manager, Confluent
Kasun is a Senior Product Manager at Confluent, driving innovation in the Tableflow product. He has strong experience in data streaming and application integration, and previously led product management for Azure Event Hubs at Microsoft. He is the author of gRPC: Up and Running and Microservices for the Enterprise, and has shared his insights at conferences such as Current, KubeCon, Databricks Data and AI summit and GOTO.
Senior Technical Marketing Manager, Confluent
Kyle strives to deliver technical assets that highlight Confluent product features and proven industry practices around data streaming. Kyle started his career as a digital marketing manager for a cybersecurity company, and has gained years of valuable experience in each of his roles along his journey, which includes software tester, software engineer, and developer advocate.
Senior Staff Product Manager, Databricks
Michelle is a Senior Staff Product Manager at Databricks, working on all things open lakehouse (Unity Catalog, Delta Lake, Iceberg). She previously led teams at Webflow and Airbnb, and is based out of San Francisco.
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