Examples of using Data reduction in English and their translations into Indonesian
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Ecclesiastic
First, is data reduction.
Data Reduction, building 202.
Another name for this step is Data Reduction.
Thank you, Data Reduction's just fine.
Gigen privacy policy according to the dictates of data economy- and data reduction.
The PACS data reduction was performed in two steps.
Having read, studied, and analyzed, the next step is conduct data reduction is done by abstracting.
The data reduction should not be considered separated from analysis.
PowerMax also includes inline deduplication andcompression to minimize storage footprint with up to 5:1 data reduction.
Part of data reduction but with particular importance, especially for numerical data. .
IoT devices and applications will therefore increasinglycome with built-in services such as data analysis and data reduction.
But once you're confronted with data reduction, you immediately find out a great deal about hard drives.
Factor analysis: This is the collective name given to a group ofstatistical techniques that are used primarily for data reduction and structure detection.
Principal components analysis is a data reduction technique that relies on the total variance of the variables in a dataset;
The data is a lot of, after being read, studied,and ditelah then the next step is data reduction is done by making abstractions.
Data Reduction Prevention(DLP) tactics are within the market for the final ten many years, but a lot of don't pay attention to them simply because on the substantial cost.
It is then processed, in a step usually called data reduction, to apply calibrations and to extract physically significant information.
Data reduction is most often, especially in large particle physics experiments, an automatic, batch-mode operation carried out by software written ad-hoc.
IPAC worked to improve data pipelines andspecialized software analysis tools to yield the best quality calibration and data reduction methods from the mission.
Both formats utilize“perceptual” data reduction techniques to remove useless data in PCM signal output, thereby preserving high fidelity sound.
Currently, ESA and IPAC continue efforts to improve the data pipelines andspecialized software analysis tools to yield the best quality calibration and data reduction methods from the mission.
Data reduction often forces choices about which aspects of the assembleddata should be emphasized, minimized, or set aside completely for the purposes of the project at hand.
Unlike other All-Flash enabled data centers on the market, XtremIO X2 is capable of delivering up to 80% lower response times and25% higher data reduction to support 2x more copies per cluster for iCDM.
The purpose of data reduction is that we as researchers summarize, sort and select, and categorize the data we get from the data source through various data collection techniques that we do.
After the researchers write the results of the interview into the transcript,the next researcher made the data reduction by means of abstraction, that is taking the data in accordance with the research context and ignoring the data that is not needed.
This data reduction process uses a filterbank to split the signal into a number of frequency sub-bands, while sophisticated global bit management techniques are used to calculate the ideal bit rate for each channel and sub-band while maintaining a constant global bit rate.
Processing and analysis of data is done qualitatively by using"interactive analysis model", is ananalysis carried out in the form of interaction on three components, namely data reduction, data presentation, and drawing conclusions or verification.
Both Dolby Digital andDTS Digital Surround systems make use of data reduction techniques to remove redundant data in the original PCM signal, and to eliminate audio data that would result inaudible to the human ear- thus reducing the space required to store multi-channel sound.
This intelligence on the DAP board is designed to extend the power of the Windows user interface by executing all processor intensive routines in real time andperforming data reduction so that the software on the PC can handle more demanding applications than usual.
The data analysis stage used in this research is data reduction is the process of selecting, concentrating attention, extracting and transforming rough data from the field, followed by the presentation of data, then withdrawal conclusion.