big data
23
3.7
- noun
- /bɪɡ ˈdeɪtə/
- Specialized
:
big data
- As the influence of big data increases, so should our concern about the quality of the data and the analysis.
- analytics and big data
- analysis of big data
- big data ownership
So it is big data and it needs big algorithms.
- So it is big data and it needs big algorithms.
- So how did I get into transportation and big data systems for transportation?
- Now, some people will say, well, big data will solve this.
- Now there's lots of companies that are creating products for big data.
- Because the costs of pulling big data in and out of clouds are really prohibitive.
- I just think that I'm able to decipher big data and social things a little bit quicker than most.
- The world's most famous hacker teaches you how to be safe in the age of Big Brother and Big data.
Examples
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Innovation, including increasing use of big data and eMeasures, will continue to improve patient safety and care quality.
Academic text (2015) -
Companies interested in big data sets wanted my algorithm.
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Smart cities are now using big data to solve complex urban problems.
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A wealth of research, or "big data," substantiates school libraries' impact on students' reading and writing.
Academic text (2015) -
Whereas local learning analytics are focused on specific individuals, big data learning analytics can be used to identify learner performance trends.
Academic text (2015) -
In addition, big data analyses are complex and require automation and verification to ensure validity.
Academic text (2016) -
According to Edd Dumbill from O'Reilly Media, "Big data is data that exceeds the processing capacity of conventional database systems."
Academic text (2018) -
The company specialized in big data analytics derived from the massive pile of medical record data.
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Smart cities are now using big data to solve complex urban problems.
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Penn researchers are attempting to harness the power of big data to help cancer patients avoid ER visits.
How Big
- Specialized
23
3.7
- Specialized
21
3.5
Surface Forms
Morphology
The concept 'extremely large data sets' is directly derivable from combining 'big' (large) with 'data' (information): a B1 learner who knows both words can infer it refers to large amounts of information. Although the term has technical analytics connotations, its core meaning is compositional and cross-linguistically transparent, so learners can understand it without prior exposure.
Etymology
The phrase big data comes from a simple image: very big piles of data, so much information that only powerful computers can look through and compare. So, big data now means 'very large sets of information that computers study to find patterns'.