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Drill to Detail Ep.90 'Apache Kafka, Real-Time Stream Processing and ksqlDB' with Special Guest Michael Drogalis

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Content provided by Mark Rittman and Rittman Analytics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Rittman and Rittman Analytics or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Mark Rittman is joined in this episode by Michale Drogalis, Product Manager at Confluent to talk about the history of Apache Kafka and real-time stream processing, the origins of kSQL and kSQLdb and the rationale and use-cases addressed by these products.

ksqldDB product homepage

Introducing ksqlDB Blog Post

Kafka Streams vs. ksqlDB Blog Post

  continue reading

121 episodes

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on March 12, 2025 19:19 (2M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 443174574 series 3604983
Content provided by Mark Rittman and Rittman Analytics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mark Rittman and Rittman Analytics or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Mark Rittman is joined in this episode by Michale Drogalis, Product Manager at Confluent to talk about the history of Apache Kafka and real-time stream processing, the origins of kSQL and kSQLdb and the rationale and use-cases addressed by these products.

ksqldDB product homepage

Introducing ksqlDB Blog Post

Kafka Streams vs. ksqlDB Blog Post

  continue reading

121 episodes

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