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Flink and BEAM Stream Processing with Maximilian Michels
Distributed stream processing systems are used to read large volumes of data and perform operations across those data streams. These stream processing systems often build off of the MapReduce algorithm for collecting and aggregating large volumes of data, but instead of processing a calculation over a single large batch of data, they process data on
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By Podcast Archives - Software Engineering Daily
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Distributed stream processing systems are used to read large volumes of data and perform operations across those data streams. These stream processing systems often build off of the MapReduce algorithm for collecting and aggregating large volumes of data, but instead of processing a calculation over a single large batch of data, they process data on
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