Examples of using Large data sets 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
Lessons may be learned either from detailed examination of individual deaths or by reviewing large data sets, though each has its advantages as well as its problems.
empirical analysis tools combined with strong skills in using large data sets in order to perform deep studies in a broad area of economics.
empirical analysis tools combined with strong skills in using large data sets in order to perform deep studies in a broad area of economics.
FileCatalyst UDP-based protocol: FileCatalyst uses a patent-pending UDP-based protocol that is faster in transferring large data sets when there is high latency
Applied econometricians pointed to the growing importance of“big data” and to the likelihood that large data sets will have significantly enhanced our understanding of economic decision-making by 2033.
for flash technology and designed to provide the storage throughput needed for large data sets and next-generation workloads.
Estimates of the parameters of the SEIR model are tractable on large data sets because of parallelizability,
for example, require large-scale execution environments that not only handle large data sets, but also provide the results in acceptable run times.
Analyze larger data sets with the same compute resources.
This allowed the Solomon machine to apply a single algorithm to a large data set, fed in the form of an array.
The company's largest data sets have hundreds of millions of rows in a single table.
Working with larger data sets or plain text files is desirable to be compared to each other.
Google Play Store is the app store for Android apps and has one of the largest data sets in the world when it comes to user reviews.
Modules with a capacity of at least 32 GB contain enhanced capabilities to also cache larger data sets such as files and applications.
At present, it has been said of big data as a large data set that are above the normal capacity accepted by the aforementioned technologies and needs more improved technologies for their treatment, which does not
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
Larger data sets are enabling economic historians to address key questions- for example,
and larger and larger data sets, that we're trying to understand using learning algorithms.
as such can become unfeasible for larger data sets.
The problem addressed is the view of a large data set, as a result of numerical simulations