Examples of using Huge data in English and their translations into Hebrew
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The build-out of the huge data center in North Carolina.
In only a few moments we have the capacity to comprehend huge data sets;
Although you can easily build huge data models in Excel, there are several reasons not to.
Data reduction isone of the most important problems for work with huge data sets.
And I said,"Well, you know,the problem of the huge data you require for serif fonts and so on.".
People also translate
Removing the power of intuition frombetting strategy entirely would eliminate a huge data source.
Modern research requires access to huge data sets, and not every research institute has the resources in place to handle these requests.
This new group of non-volatile memory is aninnovative technology that allows for fast access to huge data and enables totally new applications.”.
With huge data sets and fine-grained measurement, statisticians and computer scientists note, there is increased risk of“false discoveries.”.
From some reason the program is out of memory-verify you have no huge data structures in the porgram(e.g. list or table huge size).
I had(for me) a huge data loss issue and Mathew Law has without doubt give a professional, empathetic, efficient and commercial friendly approach to this issue.
In 2007, IBM, Google, and several universities joined forces to develop a server farm forresearch projects needing both fast processors and huge data sets.
However, modern research requires access to huge data sets, and not every research institute has the resources to create the necessary computing power.
With no sense that data is physical or that storing it uses up space and energy,[Internet users]have developed the habit of sending huge data files back and forth, like videos and mass e-mails with photo attachments.
A program that works with huge data structures will sometimes require a working set that is too large to be efficiently managed by the page system resulting in constant page faults that drastically slow down the system.
Secondly the development of big data andpowerful analytics means that these systems can process huge data sets and that information can be quickly translated to intelligent courses of action.
In simple words, Tago's Big Data solutions and analytics is all about providing you the ability to easily store, retrieve, organize, search and analyze massive sets of data from all sources, with incessant emphasis on keeping the whole system performance as rock-solid as possible,taking into account the cost-effectiveness in arranging your huge data.
Another study by Pardis C. Sabeti of Harvard University andher colleagues used huge data sets of genetic variation to look for signs of natural selection across the human genome.
We're taking all of this data, a lot of it bad data, a lot of historical data full of prejudice, full of all of our worst impulses of history,and we're building that into huge data sets and then we're automating it.
The companies competing for this business have built huge data centers known as server farms around the world that allow customers to rent storage space and tap some of the large computing horsepower the vendors offer to analyze that information.
Companies that offer those cloud backup services- like Google and Amazon- understand the importance of reliability,and invest billions in setting up huge data centers around the world, equipped with advanced air conditioning systems, generators for alternative power supply and so on.
It's a huge amount of data.
We have a huge amount of data.
That's a huge amount of data.
The research was based on huge amounts of data.
And that's a huge amount of data.
Today, social-network research involves mining huge digital data sets of collective behavior online.