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The phrase "fetching of data" is correct and usable in written English.
It can be used in contexts related to computer science, programming, or data management when discussing the process of retrieving data from a source.
Example: "The application is responsible for the fetching of data from the server to display on the user interface."
Alternatives: "retrieving data" or "data retrieval".
Exact(1)
Given that this SQL query is run very often, this would add extra time for the fetching of data.
Similar(59)
Yet many of the ideas they introduced, including RSS data feeds, the subscribe-and-sync model and background "pre-fetching" of data, are now common in products ranging from blog aggregators to on-demand video services.
A badly chosen row key could spread the data across the HTable and make fetching of the data time consuming and result in poor performance.
By utilizing data caching and pre-fetching of data while users are setting filters, we achieve sufficient performance to allow interactive filtering and annotation of results (Table 2).
These queries cause the cartridges to fetch large amounts of data from storage and run the verification algorithm on each of many identified positives. .
Some articles including [16, 25] co-relate HOL to fetching of the first data packets at the new-POA.
Along with a friend, Swartz created a program to download millions of those documents and then, as Doctorow wrote, "spent a small fortune fetching a titanic amount of data and putting it into the public domain".
After activists built RECAP (which allowed its users to put any caselaw they paid for into a free/public repository), Aaron spent a small fortune fetching a titanic amount of data and putting it into the public domain.
Instead of fetching data from the website directly, the browser sends a message to its proxy servers located on the cloud.
Scenario four is to evaluate the performance of ECT in the circumstance where there is no overhead of fetching remote data blocks.
That is, ({mathsf {P}} ) fetches a bounded amount of data from G and builds a small (G_Q) from it.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com