VIDEO: Seif Haridi invited speaker at Data Science Summit in SF

5 October, 2015 - 18:17

Seif Haridi talked about Apache Flink Streaming at the Data Science Summit Dato Conference in San Franscisco. Apache Flink has been developed by KTH Royal Institute of Technology and SICS Swedish ICT.
Flink Streaming is an extension of the core Flink API for high-throughput, low-latency stateful stream processing system. The system can connect to and process data streams from many data sources like Flume, Twitter, ZeroMQ and also from any user defined data source. Data streams can be transformed and modified using high-level functions similar to the ones provided by the batch processing API. Flink Streaming provides native support for iterative stream processing. The processed data can be pushed to different output types. In this talk we will give an introduction to Flink Streaming programming model and outline its implementation. Flink streaming is part of Flink, a top-level Apache project.