Sentence examples for a vast number of data from inspiring English sources
The phrase "a vast number of data" is not correct in standard English usage.
The term "data" is typically treated as a plural noun, so it would be more appropriate to say "a vast amount of data."
Example: "The researchers collected a vast amount of data to support their findings."
Alternatives: "a large quantity of data" or "an extensive set of data.".
Manufacturing companies today have access to a vast number of data sources providing gigantic amounts of process and status data.
Human error – people are generally the weakest link in any security chain, and a vast number of data breaches are the result of information being lost, or distributed to the wrong person.
All the more reason to welcome a new study by the University of Minnesota and McGill University in Montreal, which looks in some detail at where, and how far, this decline is occurring.The authors take a vast number of data points – 2.5m over almost half a century, 1961-2008 – for the four crops that are most important for people's nutrition: rice, wheat, maize and soyabeans.
During the game, TV commentators will draw on a vast number of data points about the club and its players.
This is because a vast number of data sources, sinks and services have the potential to be relevant to health and well-being.
Deep sequencing enables the immediate generation of a vast number of sequence data.
A vast number of biological data resources and services have arisen over the last decades.
Graphics processors (GPUs) provide a vast number of simple, data-parallel, deeply multithreaded cores and high memory bandwidths.
However, a vast number of gene expression data sets have recently become available for several plant species.
The scalability challenge arises from the vast number of data sources that may input to a data lake [10], and the continuous addition of new and varying data sources [2].
To support PDL, the big data integration (BDI) system faces the following three challenges: The scalability challenge arises from the vast number of data sources that may input to a data lake [10], and the continuous addition of new and varying data sources [2].
