TRANSLATING BIG DATA MODEL OUTPUT TO INFORM POLICY AND DECISION MAKING

2017 ◽  
Vol 2 (2) ◽  
pp. 1-10
Author(s):  
Dr Marlène van der Sterren ◽  
Merran Griffith ◽  
Scott Manning ◽  
Dr Peter Tate ◽  
Dr Jonathan Dixon
2018 ◽  
Author(s):  
Syed Ahmad Chan Bukhari ◽  
Khalid Mahmood Malik

We are awash with “Big Data” to this very day because of the technological advancements made during the past decade. The notion of Big Data refers to the datasets which are gigantic in size to be processed by conventional databases and management techniques (volume), are extremely diverse so that no single data model can capture all elements of the data (variety) and are produced or gathered at an unprecedented scale (velocity). Because of this sheer volume, variety, and velocity of big data, enterprises are facing data heterogeneity, diversity andcomplexity challenges. However, this big data era came with big opportunities by resolving the associated challenges, so it could transform our traditional way of decision-making. Enterprises with the technical expertise of managing big data are now replacing their usual guesswork and laborious legacy data modeling based decision making processes with facts derived from bigdata.


2008 ◽  
Author(s):  
Pedro J. M. Passos ◽  
Duarte Araujo ◽  
Keith Davids ◽  
Ana Diniz ◽  
Luis Gouveia ◽  
...  

2020 ◽  
Vol 98 ◽  
pp. 68-78 ◽  
Author(s):  
Aseem Kinra ◽  
Samaneh Beheshti-Kashi ◽  
Rasmus Buch ◽  
Thomas Alexander Sick Nielsen ◽  
Francisco Pereira

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