Examples of using Large data in English and their translations into Hebrew
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Well suited to large data sets.
Its primary function is todetect potential acts of terror through analysis of large data sets.
Big data: How can extremely large data volumes be managed efficiently?
Learn how to process and extract information from large data sets.
A large data center is an industrial-scale operation using as much electricity as a small town.
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BigQuery is a Google developer tool for fast queries of large data sets.
Thanks to this meme, there's now a very large data set of carefully curated photos of people from 10 years ago and now.
Files and documents on Google Doc,videos on YouTube and Vimeo, large data files on cloud storage.
Okay, I had to use a large data set because it was stored on an untrusted server, and if I amortized the verifiable computation… Yeah, yeah, that's real interesting, Boa, but no.
Big data deals with the quantity, nature, context,consistency and quality of large data sets.
The program recognizes Unicode file tags,can work with large data, contains templates for automatic conversion to Android and IOS smartphones.
The methodology was sound,but computers weren't fast enough and there weren't enough large data sets to comb.
Students will integrate business conceptsas well as key methods and tools for large data modeling, analysis, and resolution of challenging problems involving“Big Data”.
Having the server do the processing is usuallymore efficient, especially when working with large data sets.
That version of Watson now sits in a corner of a large data center at the research facility in Yorktown Heights, marked with a glowing plaque commemorating its glory days.
Google's speech recognition technology can comprehend virtually any voice command for people without speech impairments,due to the large data set that has been available for training.
For large data linear or quadratic factors cannot be ignored, but for small data an asymptotically inefficient algorithm may be more efficient.
You can perform other operations while downloading a large data item or multiple data items.
Hyper is designed to simultaneously process transactional and analytical queries without impacting performance resulting in the ability to scale up andperform sophisticated analysis on large data sets with.
There are various ways to deal with this butthe problem is more serious in large data sets, because there are vastly more possible comparisons than there are data points to compare.
You work with extremely large data sets, like enterprise-scale Excel workbooks with complex calculations, many pivot tables, connections to external databases, and using Power Pivot, Power Map, or Power View.
Many data warehouses started with rather grand“Enterprise Data Warehouse”(EDW)titles and ended up more as large data dumps delivering poor data quality, little data governance and limited flexibility.
It is essentially optimizing the memory architecture so that large data sets and time-critical data can be more efficiently handled, hence speeding up memory access speeds up to 1,000 times for specific data-focused applications.
Students will be taughtcutting edge techniques for extracting impactful information from large data sets and for effectively communicating them in order to influence the strategic decisions of the organizations where they will work.-.
Many psychologists have their doubts,partly because the U-curve is a statistical regularity that emerges from large data sets, and psychologists prefer to study actual people, whether individually or in experimental groups, and ideally across their whole lives.