Examples of using Large data in English and their translations into Romanian
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Programming
MapReduce is a programming model for processing and generating large data sets with a parallel,
FinalCrypt 2.4 updated FinalCrypt a file encryption program that encrypts large data files with large personal photo or video(cipher) files.
The current large data centers basically follow the 100G CWDM4 structure of the last era, and use AOC and DAC the same time.
Sponsored Links: FinalCrypt a file encryption program that encrypts large data files with large personal photo or video(cipher) files.
Hours Overview Big Data is a term that refers to solutions destined for storing and processing large data sets.
Working with Large data sets, Steps involved in analyzing large data. .
Hours Overview Big Data is a term that refers to solutions destined for storing and processing large data sets.
FIX: Slow performance when you use DQS to perform a data cleansing against a large data source in SQL Server 2012.
from small server cabinets to large data centers, are processing data loads.
The utility uses the computer's hardware resources when compressing and decompressing large data, supports loading user profiles,
Colocating to a large data center can be less expensive
HPC will begin to be applied in large data, artificial intelligence
can work with large data, contains templates for automatic conversion to Android and IOS smartphones.
We used Artificial Intelligence(machine learning) and trained with this large data set.
To summarize, BigData means storing and analyzing large data volumes, of Terra Bytes magnitude.
Even the best expert cannot do a lot without a large data library for lookup and comparison.
For the large data center, this journal to top-quality products having requirements for both costs
Even so, some leading incorporations in the industry are possible to be defeated in the large data center, due to that the long-term reliability of 100G products exceeds the original mental expectation.
the idea will be conveyed clearly without losing the target audience in a very large data stream.
In large networks, sniffers, working on large data transfer protocols, are able to