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This enables a single query to be asked across multiple distributed datasets and across a range of biological domains.
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The SBDS also seeks to serve as an analytical platform where government users can distribute massive spatial datasets across multiple computer machines and carry out spatial analyses against those distributed datasets in a concurrent manner.
To achieve these goals, Spark introduces a data abstraction called resilient distributed datasets (RDDs).
Kent, W. J., Zweig, A. S., Barber, G., Hinrichs, A. S. & Karolchik, D. BigWig and BigBed: enabling browsing of large distributed datasets.
resilient distributed datasets.
Spark offers a distributed memory abstraction to the programmer with resilient distributed datasets (RDD) [33].
When normally distributed, datasets were statistically analysed using either an unpaired t-test with Welch's correction or a one-way analysis of variance with Bonferroni's multiple comparison test.
With this functionality, the user can perform custom operations on the distributed dataset, thereby taking full advantage of the extra available computation power when using multiple nodes.
The acquisition and coordination of data from multiple distributed sources.
Like Oodle, Trulia pulls its content from multiple, distributed sources.
In distributed multiuser communication systems, multiple distributed users try to communicate with a common receiver.
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