April 16, 2020 | Episode 94

Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs

  • Notes

Apache Kafka® 2.5 is here, and we’ve got some Kafka Improvement Proposals (KIPs) to discuss! Tim Berglund (Senior Director of Developer Advocacy, Confluent) shares improvements and changes to over 10 KIPs all within the realm of Core Kafka, Kafka Connect, and Kafka Streams, including foundational improvements to exactly once semantics, the ability to track a connector’s active topics, and adding a new co-group operator to the Streams DSL.

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Episode 95April 22, 2020 | 46 min

Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie

During his time at Twitter, Sam Ritchie led the development of Summingbird, a project that helped Twitter ingest and process massive amounts of data, relieving some key pain points for developers at Twitter. In this episode, Sam dives teaches us some abstract algebra and explains how it has informed his attempts to make stream processing programs easy to write in a more general way.

Episode 96April 24, 2020 | 11 min

Confluent Platform 5.5 | What's New in This Release + Updates

Confluent Platform 5.5 is out! This release includes improved schema management, Schema Registry support for Protobuf and JSON, better support for languages other than Java within the sphere of librdkafka, and an upgrade to ksqlDB.

Episode 97April 29, 2020 | 40 min

IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner

There are two primary industries within the Internet of Things (IoT): industrial IoT (IIoT) and consumer IoT (CIoT), both of which can benefit from the Kafka ecosystem, including Kafka Streams and Kafka Connect.. Kai Waehner shares example use cases where he’s seen IoT integration in action, specifically focusing on Walmart and its real-time customer integration using the Walmart app.

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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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