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I was 5 or 6 when I got my first sense of the joys of computer programming. This was in the early 1980s, when few people had a computer. One day, my dad brought home a Sinclair ZX Spectrum, one of the ...

Abstract: MapReduce is a very popular parallel programming model for processing large data sets. This paper discusses strategies in implementing a MapReduce runtime system using Message Passing ...

Over the last couple of months, we were discussing Hadoop and its components. We also discussed the need for Hadoop and its Execution engine(Map Reduce programming Paradigm). In this article, let’s ...

Rapid digitization has increased the generation and availability of data. To harness the data we need to store the (Big) data and process the (Big) data. Available storage size and performance has ...

ABSTRACT: Extracting and mining social networks information from massive Web data is of both theoretical and practical significance. However, one of definite features of this task was a large scale ...

ABSTRACT: This paper introduces MapReduce as a distributed data processing model using open source Hadoop framework for manipulating large volume of data. The huge volume of data in the modern world, ...