Examples of using Large data in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
to enable broadcasters to move large data quickly,….
optimize file transfers across global networks at speeds of up to 10Gbps by breaking down large data into manageable chunks that can be sent at full line speeds.
The role that parallel computing has been gaining in computing for processing large data, combined with the spread of parallel multi-core architecture,
achieve the transfer of large data traffic, which is the data rate Enhanced,
To achieve this goal, continuous analytics to examine large data and reliable and ongoing interactions with audiences are required,
When you connect to a large data set, you will probably want to limit it to a sample of the data to increase the speed of your data prep process and to optimize performance.
The DA-6400 offers stable recording when using high sample rates that have large data transmissions, and saves files approximately every 20 minutes when recording to keep file loss to a minimum.
into the database environment, allowing the end user the ability to directly link to databases and large data files, clean the data
being useful for large data applications such as video surveillance,
high-capacity SATA HDDs for large data archiving, or high-speed
And for network-based backup methods, it may be inefficient to consume huge amounts of bandwidth for a vast number of small files or a single large data file.
of growing business data, providing businesses a cost-efficient storage solution for large data archiving and virtualization applications.
of growing business data, providing businesses a cost-efficient storage solution for large data archiving and virtualization applications.
favourable communication, large data analysis, and rational logical reasoning,
to enable broadcasters to move large data quickly, securely,
Estimates of the parameters of the SEIR model are tractable on large data sets because of parallelizability,
using a large data set, highlighting the narratives obtained through semi-structured interviews,
or contain large data types such as image or text.
Analyze larger data sets with the same compute resources.
But the industry is already eyeing the largest data.