Examples of using Large amount of data in English and their translations into Japanese
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Colloquial
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Computer
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Programming
The transceiver automatically switches to this mode when sending and receiving images, allowing a large amount of data to be transmitted quickly.
If you have a large amount of data, we recommend that you create a file structure in Dropbox Business first.
If a large amount of data is read from the pipe, this can cause a large amount of memory to be allocated.
This is something that becomes critical when dealing with a large amount of data and transactions.
A clear waveform can be obtained in a short time if a large amount of data can be compulsorily output.
Big data integration and analytics- for generating valuable business insights from the large amount of data received from the sensor nodes.
On a test track in Friedrichshafen, ZF collects data for automated driving- a large amount of data.
You can temporarily disable your application--for instance, when you need to upgrade a library or a large amount of data.
Similarly, the information can be presented in a horizontal plane, but with a large amount of data it will look dull.
Since it handles a certain amount of data collectively, it is used while handling a large amount of data.
Fix Load Dashboard widget content using ajax method(large amount of data).
This approach requires the engineer to describe the sheet metal part and/or tool in great detail by manually inputting a large amount of data.
Since some irregular verbs are quite rare, a large amount of data is need to detect changes over time.
When a large amount of data is to be processed on the database, it is necessary to avoid reading all the records on memory, and to read and discard only the data necessary for one processing.
With the large amount of data an AIS civilization would collect, there would in theory be a checks-and-balances library for more and more questionable, dubious, socially detrimental things, regardless of the user.
In a short time, Apache Storm became the standard for distributed real-time processing systems in that it allows you to process a large amount of data, similar to Hadoop.
Automotive electronics that support these advanced driver assistance systems(ADAS) are required to process a large amount of data at a high speed, and therefore noise that occurs in them has higher frequencies.
In a short time, Apache Storm became a standard for the distributed real-time processing system that allows you to process a large amount of data, similar to Hadoop.
Because the data file contains a large amount of data, the download software in the remote host employs a“level-of-detail” technique to organize the download into data groups with progressively increasing levels of detail.
So, if you increase the limit and record a large amount of data, Android Studio takes much longer to parse the file and may become unresponsive.