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The company is investing heavily in Big Data analysis, which uses parallel processing to deliver speedy results.
"By sharing data and applying the latest in big data analysis — which has a very real application in the security industry — companies are realizing the power in numbers.
However, by sharing data and applying the latest in big data analysis — which has a very real application in the security industry — companies are realizing the power in numbers.
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Pig [10, 11] is a big data analysis system, which provides a high-level language Pig Latin for Hadoop.
To emphasize the significant of data fusion or knowledge discovery, an efficient architecture has been proposed for real-time big data analysis in an autonomous vehicle, which indeed will keep pace with the latest trends and development with respect to emerging big data paradigm.
– Paul Brook It's a question of trust and public acceptability: "It would be interesting to see which types of big data analysis are more accepted by the general public.
The company has developed a predictive analytics cloud service based on a concept called 'Social Physics', which purports to simplify big data analysis.
Future data management tools, which are specifically useful for big data analysis, should be able to normalize the HTS data from different sources into benchmark end points.
They are services such as ZestFinance, which uses machine learning and large-scale big data analysis to better determine credit risk.
To build a scalable and fault-tolerant manager for big data analysis, Huai et al. [88] presented a matrix model which consists of three matrices for data set (D), concurrent data processing operations (O), and data transformations (T), called DOT.
A novel system architecture which mainly focuses on distributed energy condition perception and big data analysis for ICRs is built.
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