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‘apache flink’

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On 3rd of July, we co-organized the 31st meeting of Warsaw Hadoop User Group! We hosted two Apache Flink committers - Kostas Klaudas(dataArtisans) and Dawid Wysakowicz from our team. Stateful Stream Processing with Apache Flink Kostas Kloudas gived us a high level presentation about Apache Flink. His presenatation aimed at covering the general idea and [...]

On June 1st, the Apache Flink community announced the 1.3.0 release that introduced a few very important features. It is also a special release for us at GeInData because we had the pleasure to be an important part of it. Our work focused on improving the Flink CEP library which got boosted amongst other cool […]

In the first part of this blog post we described a number of challenges that need to be addressed when implementing data pipelines with technologies like Pig, Scalding, Spark, Spark Streaming or Storm. For instance, if we want to sessionize our events correctly with these technologies, we have to implement complex custom code to deal […]

While a lot of problems can be solved in batch, the stream-processing approach can give you even more benefits. In this blog post series we’ll discuss a real-world example of user session analytics to give you a use-case driven overview of business and technical problems that modern stream processing technologies like Apache Flink help you [...]
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