Kapernikov joins the flink community

Published on: September 16, 2016

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:

  1. DataStream API for unbounded streams embedded in Java and Scala, and
  2. DataSet API for static data embedded in Java, Scala, and Python,
  3. Table API with a SQL-like expression language embedded in Java and Scala.

Flink also bundles libraries for domain-specific use cases:

  1. CEP, a complex event processing library,
  2. Machine Learning library, and
  3. 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.