Archive for the
‘Tutorials’ Category

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

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

When we started Eventador.io in 2016 we needed a simple data source to help us build the platform on. We needed something that exemplified streaming data, something massively dynamic, and something with a lot of data. Tweets were played out, we wanted something better.

October 23, 2017

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by: Kenny Gorman

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Categories: Apache Kafka, Tutorials

Getting connected and producing (publishing) and consuming (subscribing) messages is relatively easy in Apache Kafka. In this post we will go over connecting, producing a simple message, and consuming that message via one of a couple native python clients. Most languages are similar and there are a host of native drivers to choose from.

December 15, 2016

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by: Kenny Gorman

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Categories: Apache Kafka, Product Feature, Tutorials

With the release of Eventador 0.5 we are introducing new plans with one-click provisioning. This allows you to deliver your projects in a more timely basis, save costs on valuable resources, leverage the cloud more effectively, get worry free 24×7 support, and have best in class data pipeline infrastructure simply by using Eventador.io. I thought […]

December 6, 2016

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by: Kenny Gorman

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Categories: Apache Kafka, Product Feature, Tutorials