Examples of using Amounts of data in English and their translations into Korean
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Ecclesiastic
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Programming
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Computer
compared with secret-key algorithms, and are not designed to encrypt large amounts of data.
Users are still generating massive amounts of data, but not only humans are generating data. .
Large amounts of data can be analyzed using standard computing resources in reasonable time.
Public-key algorithms are useful only for transferring very small amounts of data.
My laboratory produces large amounts of data from RNA-seq, ChIP-seq and genome resequencing experiments.
This has led to an urgent need to process massive amounts of data and obtain meaningful information.
To make its space allocation efficient, SQL Server does not allocate entire extents to tables with small amounts of data.
This process also required additional and costly servers, to process these huge amounts of data.
The internet and interconnected devices become a cornerstone of everyday life and generate vast amounts of data.
These dApps will exchange massive amounts of data that need to be stored and managed.
To support this, life science organizations must be able to analyze huge amounts of data across disparate platforms.
For example, botnets can sometimes trick servers into sending themselves massive amounts of data.
Even the devices in use today are already producing huge amounts of data.
As co-author of the study, Ferreira-Borges has collected and compared vast amounts of data from 28 years.
And many LoT devices generate enormous amounts of data during the course of their operations.
The system can handle huge amounts of data within reasonable time intervals.
Measurement times were also significantly reduced as the device could collect large amounts of data in just a few minutes.
On NFS file systems, reading small amounts of data will only update the timestamp the first time, subsequent calls may not do so.
Billions of intelligent devices and machines generate massive amounts of data, creating a bridge between real
AI never tires, can sift through enormous amounts of data, and identify possible correlations