Apache Flink: Blog

Apache Flink 1.1.4 Released

21 Dec 2016

The Apache Flink community released the next bugfix version of the Apache Flink 1.1 series.

Apache Flink in 2016: Year in Review

19 Dec 2016 by Mike Winters

As 2016 comes to a close, let's take a moment to look back on the Flink community's great work during the past year.

Apache Flink 1.1.3 Released

12 Oct 2016

The Apache Flink community released the next bugfix version of the Apache Flink 1.1. series.

Apache Flink 1.1.2 Released

05 Sep 2016

The Apache Flink community released another bugfix version of the Apache Flink 1.1. series.

Flink Forward 2016: Announcing Schedule, Keynotes, and Panel Discussion

24 Aug 2016

An update for the Flink community: the Flink Forward 2016 schedule is now available online. This year's event will include 2 days of talks from stream processing experts at Google, MapR, Alibaba, Netflix, Cloudera, and more. Following the talks is a full day of hands-on Flink training.

Flink 1.1.1 Released

11 Aug 2016

Today, the Flink community released Flink version 1.1.1.

Announcing Apache Flink 1.1.0

08 Aug 2016

Important: The Maven artifacts published with version 1.1.0 on Maven central have a Hadoop dependency issue. It is highly recommended to use 1.1.1 or 1.1.1-hadoop1 as the Flink version.

Stream Processing for Everyone with SQL and Apache Flink

24 May 2016 by Fabian Hueske (@fhueske)

About six months ago, the Apache Flink community started an effort to add a SQL interface for stream data analysis. SQL is the standard language to access and process data. Everybody who occasionally analyzes data is familiar with SQL. Consequently, a SQL interface for stream data processing will make this technology accessible to a much wider audience. Moreover, SQL support for streaming data will also enable new use cases such as interactive and ad-hoc stream analysis and significantly simplify many applications including stream ingestion and simple transformations.

In this blog post, we report on the current status, architectural design, and future plans of the Apache Flink community to implement support for SQL as a language for analyzing data streams.