4 Valuable Resources on Stream Processing

Stream processing is a programming paradigm defining applications which, when receiving a sequence of data, treat it as a collection of elements, or datapoints, and rather than group and process them together, process each datapoint by itself. In stream processing, each datapoint is processed as it arrives and independently from other datapoints, unlike batch processing, where datapoints are usually buffered and processed together, in bulk. Therefore, stream processors have become an important building block of real-time applications, as they facilitate acting on event data in real-time, allowing a user access to the real-time state of a system and its data, rather than allowing access to periodical snapshots of it. Alooma’s main product is a data-pipeline, that allows our users to send or pull data from multiple sources, perform computations on…

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