Apache Storm is a
distributed stream-processing computation engine that allows the user to carry out
real-time big-data processing. Like Hadoop, it executes mapping and reducing
functions, but the data it processes is in a stream and not in big batches.
Storm can process information at the rate of over a million records per second
per node in an average-sized cluster, yet it is simple and, reportedly, fun.
Storm is fault tolerant, restarting workers that die, and restarting workers on
another node if a node dies. It is written in Java and Closure, but its
applications can be written in any programming language. It is designed as a
topology that acts as a data transformation pipeline. It is critically useful
in a number of cases, such as real-time analytics, continuous computation, and online
machine learning.
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