A text mining data analytic application is modeled as a complex workflow with multiple phases, where individual workflow nodes support MapReduce computations.
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What is MapReduce in data analytics?
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Experimental results when using the AWARD framework to execute MapReduce workflows deployed over multiple Amazon EC2 (Elastic Compute Cloud) instances are�...
A text mining data analytic application is modeled as a complex workflow with multiple phases, where individual workflow nodes support MapReduce computations.
The MapReduce programming model, proposed by Google, offers a simple and efficient way to perform distributed com-putation over large data sets. The Apache�...
Data analytics applications handle large data sets subject to multiple processing phases, some of which can execute in parallel on clusters, grids or clouds�...
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Data analytics applications handle large data sets subject to multiple processing phases, some of which can execute in parallel on clusters, grids or clouds.
Data analytics applications handle large data sets subject to multiple processing phases, some of which can execute in parallel on clusters, grids or clouds�...
In the paper we present experimental results when using the AWARD framework to execute MapReduce workflows deployed over multiple Amazon EC2 (Elastic Compute�...
The authors describe an approach for supporting MapReduce stages as sub-workflows in the AWARD framework Autonomic Workflow Activities Reconfigurable and�...
This research investigates the efficacy of workflow-based big data analytics in the cloud environment, giving insights on the research already performed in the�...