CopernNet : Point Cloud Segmentation using ActiveSampling Transformers
In the dynamic field of railway maintenance, accurate data is critical. From ensuring the health of ...
Struggling to get data analytics results in real-time? Kapernikov joined the vivid Flink community at FlinkForward Berlin 2016.
Apache Flink is a powerful and easy to use open source system for data stream processing with a very active developer and user community, one of the most active big data projects in the Apache Software Foundation.
Flink’s core is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams.
Flink includes several APIs for creating applications that use the Flink engine:
- DataStream API for unbounded streams embedded in Java and Scala, and
- DataSet API for static data embedded in Java, Scala, and Python,
- Table API with a SQL-like expression language embedded in Java and Scala.
Flink also bundles libraries for domain-specific use cases:
- CEP, a complex event processing library,
- Machine Learning library, and
- Gelly, a graph processing API and library.
You can integrate Flink easily with other well-known open source systems both for data input and output as well as deployment.