An introduction to Streaming Data & Stream Processing with Apache Kafka

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A cross-post for RIG: Rochester Infrastructure Group

Join us as Travis Jeffery from Confluent talks about Streaming Data and Stream Processing with Apache Kafka!

Abstract: Modern businesses have data at their core, and this data is changing continuously. How can we harness this torrent of continuously changing data in real time? The answer is stream processing, and one system that has become a core hub for streaming data is Apache Kafka.

This talk will give an introduction to Apache Kafka and describe its usage as a platform for streaming data. It will explain how Kafka serves as a foundation for both streaming data pipelines and applications that consume and process real-time data streams. It will introduce some of the newer components of Kafka that help make this possible, including Kafka Connect, a framework for capturing continuous data streams, and Kafka Streams, a lightweight stream processing library.

Bio: Travis is a software maker who’s worked at Basecamp (formerly 37signals), Segment, and now Confluent. He’s an open source hacker having created/maintained projects such as Jocko, Timecop, and Mocha. He lives in Toronto. You can find him online at https://twitter.com/travisjeffery.

Please sign up at https://www.meetup.com/RIG-Rochester-Infrastructure-Group/events/258102479/