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Big data, big picture

Veterinary Record, 2018
Ten years ago, a pilot project was launched from the University of Liverpool to explore whether it would be feasible to collect data from small animal veterinary practices and diagnostic laboratories. Surveillance data were well established on the farm side – through data collected by APHA and its previous guises, the SAC and AFBI.
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Big Data, Big Challenges

2014 IEEE International Conference on Semantic Computing, 2014
Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Its revolutionary potential is now universally recognized. Data complexity, heterogeneity, scale, and timeliness make data analysis a clear bottleneck in many biomedical ...
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Big Data, Big Challenges

Ophthalmology, 2016
The relatively rapid and recent adoption of electronic health records (EHRs) in ophthalmology has been associated with the promise that the accumulation of large volumes of clinical data would facilitate quality improvement and help to answer a variety of research questions.
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Big data

Communications of the ACM, 2017
Weike Pan   +3 more
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Big Data, Big Brother, Big Money

IEEE Security & Privacy, 2013
Government snooping, recently publicized, is now using the same data sources that corporations use to watch us. The same records used by federal agencies to search for terrorists are used, with fewer controls, by corporations searching for customers.
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Big plateaus of big data on the big island

Proceedings of the VLDB Endowment, 2015
In ancient texts, 40 was a magic number. It meant a "lot" or "a long time." 40 years represented the time it took for a new generation to arise. A look back at 40 years of VLDB suggests that this applies to database researchers as well -- the young researchers of the early VLDBs are now the old folks of the database world, and a new generation is ...
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Big Data Design

Proceedings of the ACM Eighteenth International Workshop on Data Warehousing and OLAP, 2015
It is widely accepted today that Relational databases are not appropriate in highly distributed shared-nothing archi- tectures of commodity hardware, that need to handle poorly structured heterogeneous data. This has brought the bloom- ing of NoSQL systems with the purpose of mitigating such problem, specially in the presence of analytical workloads ...
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Big business with Big Data Big Business mit Big Data

GIS Business, 2019
Big business with Big Data Big Business mit Big ...
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Big data

XRDS: Crossroads, The ACM Magazine for Students, 2012
Andrew Cron   +2 more
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A Survey on IoT Big Data

ACM Computing Surveys, 2021
Siobhan Clarke   +2 more
exaly  

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