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Big Data: Where we are (and where we aren't) Real "big data" is massive and unwieldy: Think location information, spending history, medical records, dietary information.
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Frequently, learning from massive amounts of unlabeled data is difficult and time-consuming.
Daniel says Windward was founded to aggregate information about ship activity at sea, since "the data is massive, fragmented, and often intentionally manipulated".
Today, the amount of data produced is massive, and it increases exponentially with time.
Google's data infrastructure is massive and spread across the world.
In McGM, data parallelism is massive and can be exploited by means of SIMD instructions in many scenarios.
Important features of big data are massive size, heterogeneity, uneven quality, and the need for sophisticated automated techniques to find meaning.
"The implications of these data are massive.
Jia, et al [32], used DNN for intelligence fault diagnosis in rotating machinery, especially in the case when the vibration data were massive.
The amount of data running through the service is massive, and continuing to grow at an incredible pace.
Egnyte's storage play is aimed at companies that want to keep some of their data on-premises, in part because existing data can be massive, and thus hard to put into the cloud en masse.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com