ETL Structured / Unstructured Data into a Knowledge Graph with Tom Sawyer Data Streams

Join our live webinar as we discuss how to unify streaming and legacy data into a single, governed, query-ready knowledge graph you own.

Discover how Tom Sawyer Data Streams reduces integration effort and delivers a complete, accurate picture for lineage, impact analysis and operational decisions.

During the webinar, attendees will learn how to:

• Persist transformed data to a graph database and publish enriched results back to Kafka for downstream consumption and system integration
• Design, run and monitor end-to-end data flows by defining sources, transformations, conditions and sinks, operating in batch or continuous streaming modes
• Subscribe to Apache Kafka (or Confluent) topics, automatically extract and refine schemas and transform events into a governed knowledge graph using visual tools and SpEL-based rules 
• Pair Data Streams with Tom Sawyer Perspectives or Explorations to visualize and analyze graph data and prepare trusted, unified data for LLMs, generative AI validation and agentic workflows