An introduction To Streaming Data and Stream Processing with Apache Kafka

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Join us for an Apache Kafka meetup on February 27th from 6:00pm, hosted by WeCloud. The address, agenda and speaker information can be found below. See you there!

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Agenda:
6:00pm: Doors open
6:00pm - 6:30pm: Networking, Pizza and Drinks
6:30pm - 7:15pm: Travis Jeffery, Confluent
7:15pm - 8:00pm: Additional Q&A and Networking

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Speaker:
Travis Jeffery

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.

Title:
An introduction To 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.

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