Streaming Audio: A Confluent Podcast about Apache Kafka

Listen to Tim Berglund and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.

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  • Kafka 101
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Episode 196January 24, 2022 | 4 min

Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs

Apache Kafka 3.1 is here with exciting new features and improvements! On behalf of the Kafka community, Danica Fine (Senior Developer Advocate, Confluent) shares release highlights that you won’t want to miss, including foreign-key joins in Kafka Streams and improvements that will provide consistency for Kafka latency metrics.

Episode 195January 20, 2022 | 30 min

Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra

Maximizing cloud Apache Kafka performance isn’t just about running data processes on cloud instances. There is a lot of engineering work required to set and maintain a high-performance standard for speed and availability. Alok Nikhil (Senior Software Engineer, Confluent) and Adithya Chandra (Staff Software Engineer II, Confluent) share about their efforts on how to optimize Kafka on Confluent Cloud and the three guiding principles that they follow whether you are self-managing Kafka or working on a cloud-native system:

Episode 194January 13, 2022 | 29 min

From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine

Implementing an event-driven data pipeline can be challenging, but doing so within the context of a legacy architecture is even more complex. Having spent three years building a streaming data infrastructure and being on the first team at a financial organization to implement Apache Kafka event-driven data pipelines, Danica Fine (Senior Developer Advocate, Confluent) shares about the development process and how ksqlDB and Kafka Connect became instrumental to the implementation.

Episode 193January 6, 2022 | 34 min

Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik

Getting data from a database management system (DBMS) into Apache Kafka in real time is a subject of ongoing innovation. John Neal (Principal Solution Architect, Qlik) and Adam Mayer (Senior Technical Producer Marketing Manager, Qlik) explain how leveraging change data capture (CDC) for data ingestion into Kafka enables real-time data-driven insights.

Episode 192December 28, 2021 | 34 min

Modernizing Banking Architectures with Apache Kafka ft. Fotios Filacouris

Financial services have been early Apache Kafka adopters. With strong delivery guarantees and scalability, Kafka is a streaming platform that solves architectural gaps for banks. Having experience working and designing architectural solutions for financial services, Fotios Filacouris (Senior Solutions Engineer, Enterprise Solutions Engineering, Confluent) joins Tim to discuss how Kafka and Confluent help banks build modern architectures, highlighting key emerging use cases from the sector.

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Meet your host

Tim Berglund

Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the senior director of developer advocacy. He can frequently be found at speaking at conferences in the U.S. and all over the world. Tim is the co-presenter of various O'Reilly training videos on topics ranging from Git to distributed systems, and he is the author of "Gradle Beyond the Basics." He lives in Littleton, CO, U.S., with the wife of his youth.

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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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