July 10, 2019 | Episode 41

Change Data Capture with Debezium ft. Gunnar Morling

  • Notes

Friends don’t let friends do dual writes! Gunnar Morling (Software Engineer, Red Hat) joins us on the podcast to share a little bit about what Debezium is, how it works, and which databases it supports. 

In addition to covering the various use cases and benefits from change data capture (CDC) in the context of microservices—touching on the outbox pattern in particular, Gunnar walks us through the advantages of log-based CDC as implemented through Debezium over polling-based approaches, why you’d want to avoid dual writes to multiple resources, and engaging with members from the community to work collaboratively on Debezium.

EPISODE LINKS

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Episode 42July 15, 2019 | 38 min

Kafka in Action with Dylan Scott

Author Dylan Scott tells all about his upcoming Manning title Kafka in Action, which shares how Apache Kafka® can be used by beginners who are just starting out their own projects. It also dispels common Hadoop-related myths, as Kafka has grown to become a powerful event streaming platform beyond big data ecosystems alone.

Episode 43July 22, 2019 | 23 min

Ask Confluent #14: In Control of Kafka with Dan Norwood

Is Apache Kafka® actually a database? Can you install Confluent Control Center on Google Cloud Platform (GCP)? All this, plus some tips from Dan Norwood, the first user of Kafka Streams.

Episode 44July 29, 2019 | 31 min

How to Convert Python Batch Jobs into Kafka Streams Applications with Rishi Dhanaraj

Rishi Dhanaraj worked at Zenreach as an intern and took on a big pile of Python batch jobs, turning them into some really interesting Kafka Streams code. Listen in as he walks us through how he did it.

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If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.

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