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For the datasets, we observed that timings for the bzip2 compression are smaller, while the data is stored more efficiently (see Table 2).> -wrap-foot> THadoopdoop II*' data were obtained as follows: the average time for each mapping job was multiplied by the number of successful Hadoop mapping jobs, omitting the failed jobs.
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The mapping jobs were done with Bowtie [ 15] with a "-v3" parameter specified to allow three mismatches in the alignments.
In the second MapReduce job, each Map task was devoted to sort the results by the distances so that every examples k-NN are revealed.
The pairs key-value extracted from an accessed resource by a map-reduce job are dynamically modified on the basis of the specified FGAC policies, before the mapping phase starts the processing.
Each job was mapped to one of these 23 SOC job groups.
My job was to map and investigate land use and vegetation types in a small village in the Ukrainian Carpathians that had been part of a kolkhoz (collective farm) before the Ukraine became independent.
My job was to keep current a situation map of the struggle ashore.
The number of mapping jobs (1428) was nearly quadruple that of de novo assembly jobs (326).
Mr. Foster plays Will, an American satellite-mapping engineer whose job is to match objects on the ground to satellite photos.
This means that if a map or a reduce job is declared to accept tuples of type (K,V), Hadoop throws a runtime error when trying to process a tuple of type (K ′,V ′), where K ′ and V ′ are descendants (in the object-oriented sense of the term) of K and V respectively.
Second, a Pig script is compiled into sequences of Map-Reduce jobs, and the intermediate results between two Map-Reduce jobs are stored in HDFS.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com