Streaming Graph Data with Kafka

ABOUT THIS WEBINAR
In this presentation we give an high level overview of the Neo4j-Kafka integration and the Confluent partnership. 
Providing change-data-capture and ingestion capabilities as Neo4j Extension and the Kafka Connect Neo4j Sink on Confluent Hub allows you to integrate real-time streaming with graph querying and analytics.
ADDITIONAL INFO
  • Duration: 30 minutes
  • Price: Free
  • Language: English
  • Who can attend? Everyone
  • Dial-in available? (listen only): Not available.
FEATURED PRESENTERS
  • Webinar hosting presenter Andrea Santurbano

    Andrea Santurbano

    Neo4j Architect
    Andrea Santurbano is a data engineer at LARUS Business Automation (the integrator leader for Neo4j) with seven years of experience developing high-performance, mission-critical systems, and large-scale data pipelines across multiple and...
    Full Profile
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