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:
