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Real-time Analytics with Storm and Cassandra by Shilpi Saxena

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Solutions for complex distributed use cases

Now that we understand the power that real-time solutions can get into various industry verticals, let's explore and find out what options we have to process vast amount of data being generated at a very fast pace.

The Hadoop solution

The Hadoop solution is one of the solutions to solve the problems that require dealing with humongous volumes of data. It works by executing jobs in a clustered setup.

MapReduce is a programming paradigm where we process large data sets by using a mapper function that processes a key and value pair and thus generates intermediate output again in the form of a key-value pair. Then a reduce function operates on the mapper output and merges the values associated with the same ...

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