Configuring Kafka Connector to Process Typed Data and Handle Errors

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Join us on November 7, 2024, for a 24-hour free online conference accessible across all time zones and locations, catering to all levels of expertise.

Session Track:

Session Time: 07:15 am - 07:30 am November 7

Session description

In this session, Emre will demonstrate how to configure Kafka Connector to efficiently process typed data and handle errors. You will learn how to set up Kafka Connectors, manage data schemas, and configure sink strategies. The session will also cover implementing error handlers to publish error messages to a Kafka Dead Letter Queue (DLQ) topic. You will gain practical insights into deploying and managing Kafka Connectors in production environments.

Speaker

Emre Hizal

Software Engineer, Neo4j

Emre Hizal is a Software Engineer in Neo4j's Connectors team, specializing in creating connector applications and libraries from platforms like Kafka, Spark, Google Dataflow, BigQuery, to the Neo4j graph database. Joining Neo4j in April 2024, he has been focused on the Kafka Connector, driving its development and optimization. Before joining Neo4j, he worked with various start-ups, leveraging Java technologies and frameworks to implement effective software solutions.