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

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

Distributed stream processing systems are used to read large volumes of data and perform operations across those data streams.&nbsp; 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

Flink and BEAM Stream Processing with Maximilian Michels

Databases and data engineering episodes of Software Engineering Daily

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Flink and BEAM Stream Processing with Maximilian Michels

Flink and BEAM Stream Processing with Maximilian Michels