October 28, 2019

197 words 1 min read

Apache Flink: Streaming done right

Apache Flink: Streaming done right

Apache Flink is a full-featured streaming framework with high throughput, millisecond latency, strong consistency, support for out-of-order streams, and support for batch as a special case of streaming. Kostas Tzoumas gives an overview of Flink and its streaming-first philosophy, as well as the project roadmap and vision: fully unifying the worlds of batch and streaming analytics.

Talk Title Apache Flink: Streaming done right
Speakers Kostas Tzoumas (data Artisans)
Conference Strata + Hadoop World
Conf Tag Big Data Expo
Location San Jose, California
Date March 29-31, 2016
URL Talk Page
Slides Talk Slides
Video

Data streaming is gaining popularity, as it offers decreased latency, a radically simplified data-infrastructure architecture, and the ability to cope with new data that is generated continuously. Apache Flink realizes this vision with a full-featured stream-processing framework. Flink is used in several companies, including ResearchGate, Bouygues Telecom, the Otto Group, and Capital One, and has a large and active developer community of well over 120 contributors. Kostas Tzoumas offers an overview of Flink and its streaming-first philosophy, as well as the project roadmap and vision: fully unifying the, now separate, worlds of “batch” and “streaming” analytics. Kostas covers Flink’s many features and benefits, including:

comments powered by Disqus