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Tag Archives: Apache Storm

Streaming Big Data: Storm, Spark and Samza

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There are a number of distributed computation systems that can process Big Data in real time or near-real time. This article will start with a short description of three Apache frameworks, and attempt to provide a quick, high-level overview of some of their similarities and differences. Apache Storm In Storm, you design a graph of real-time computation called a topology, and feed it to the ...

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Instant Big Data Stream Processing = Instant Storm

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Every 6 months at Canonical, the company behind Ubuntu, I work on something technical to test our tools first hand and to show others new ideas. This time around I created an Instant Big Data solution, more concretely “Instant Storm”. Storm is now part of the Apache Foundation but previously Storm was build by Nathan Marz during his time at ...

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Storm event processor – GC log file per worker

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In the last three months, I am working with a new team building a product for Big Data analytics on Telecom domain. Storm event processor is one of the main frameworks we use and it is really great. You can read more details on its official documentation (which has been improved). Storm uses Workers to do your job, where each ...

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