Apache Flink® — Stateful Computations over Data Streams

All streaming use cases
  • Event-driven Applications
  • Stream & Batch Analytics
  • Data Pipelines & ETL
Learn more
Guaranteed correctness
  • Exactly-once state consistency
  • Event-time processing
  • Sophisticated late data handling
Learn more
Layered APIs
  • SQL on Stream & Batch Data
  • DataStream API & DataSet API
  • ProcessFunction (Time & State)
Learn more
Operational Focus
  • Flexible deployment
  • High-availability setup
  • Savepoints
Learn more
Scales to any use case
  • Scale-out architecture
  • Support for very large state
  • Incremental checkpointing
Learn more
Excellent Performance
  • Low latency
  • High throughput
  • In-Memory computing
Learn more

Flink on Zeppelin Notebooks for Interactive Data Analysis - Part 2

In a previous post, we introduced the basics of Flink on Zeppelin and how to do Streaming ETL. In this second part of the “Flink on Zeppelin” series of posts, I will share how to perform streaming data visualization via Flink on Zeppelin and how to use Apache Flink UDFs in Zeppelin.

Flink on Zeppelin Notebooks for Interactive Data Analysis - Part 1

The latest release of Apache Zeppelin comes with a redesigned interpreter for Apache Flink (version Flink 1.10+ is only supported moving forward) that allows developers to use Flink directly on Zeppelin notebooks for interactive data analysis. I wrote 2 posts about how to use Flink in Zeppelin. This is part-1 where I explain how the Flink interpreter in Zeppelin works, and provide a tutorial for running Streaming ETL with Flink on Zeppelin.

Flink Community Update - June'20
And suddenly it’s June. The previous month has been calm on the surface, but quite hectic underneath — the final testing phase for Flink 1.11 is moving at full speed, Stateful Functions 2.1 is out in the wild and Flink has made it into Google Season of Docs 2020.
Stateful Functions 2.1.0 Release Announcement

The Apache Flink community is happy to announce the release of Stateful Functions (StateFun) 2.1.0! This release introduces new features around state expiration and performance improvements for co-located deployments, as well as other important changes that improve the stability and testability of the project. As the community around StateFun grows, the release cycle will follow this pattern of smaller and more frequent releases to incorporate user feedback and allow for faster iteration.

Apache Flink 1.10.1 Released

The Apache Flink community released the first bugfix version of the Apache Flink 1.10 series.