Abstract: MapReduce Scheduling problem has been an active area of research in Computer Science field. MapReduce is a programming model used by Google to process large amount of data in a distributed ...

Google introduced the MapReduce algorithm to perform massively parallel processing of very large data sets using clusters of commodity hardware. MapReduce is a core Google technology and key to ...

Implemented Map Reduce algorithms to: compute the word count, produce modified tri-grams around keywords, generate inverted indices for the given dataset and perform relational join on two datasets to ...

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Aster Da ta, which provides data management and data processing platform for big data analytic applications, today announced the delivery of over 30 ready-to-use advanced analytic packages and more ...

Finding frequent itemsets is one of the most important fields of data mining. Apriori algorithm is the most established algorithm for finding frequent itemsets from a transactional dataset; however, ...

In MapReduce, what does the Record Reader component do? It reads the configuration files for the job It converts the physical representation of the input data into key-value pairs for the mapper It ...