Archive for the
‘Apache Flink’ Category

We are rapidly adding features and iterating on SQLStreamBuilder, I thought I would share a couple of improvements and features we recently added. If you aren’t familiar, SQLStreamBuilder allows you to run Streaming SQL jobs against streams of data—initially focused on Apache Kafka. Here is my blog post introducing SQLStreamBuilder, check it out for some […]

Arguably the most powerful feature of Apache Flink is its ability to do stateful computations on a boundless stream of data. Apache Flink is the core of Eventador’s Fully Managed Apache Flink stack. That said, to understand the value of Apache Flink, it’s still important to know the difference between a checkpoint and a savepoint. […]

February 25, 2019

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by: Kenny Gorman

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Categories: Apache Flink, Product Feature, Tutorials

I’m fresh off the plane from two back to back weeks in San Francisco – starting with the Kafka Summit 2018 and finishing up with Oracle OpenWorld. Two drastically different conferences, but they both reinforce our thinking and continue to bolster our opinion: The defacto system-of-record for the enterprise is moving to a distributed log […]

November 15, 2018

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by: Kenny Gorman

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Categories: Apache Flink, Apache Kafka, Industry News

While Twitter and WordCount are probably two of the most common ways to get started with streaming data, there’s good reason (for Twitter at least) – it’s a fun way to work on actual real-time, unbounded streams of interesting data. In this post, I’m going to explore some techniques to normalize, window, and introspect the […]

December 12, 2017

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by: Erik Beebe

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Categories: Apache Flink, Tutorials