机构:
Stefan Cel Mare Univ Suceava, Str Univ 13, Suceava 720229, RomaniaStefan Cel Mare Univ Suceava, Str Univ 13, Suceava 720229, Romania
Paraschiv, Andrei Marcel
[1
]
Danubianu, Mirela
论文数: 0引用数: 0
h-index: 0
机构:
Stefan Cel Mare Univ Suceava, Str Univ 13, Suceava 720229, RomaniaStefan Cel Mare Univ Suceava, Str Univ 13, Suceava 720229, Romania
Danubianu, Mirela
[1
]
机构:
[1] Stefan Cel Mare Univ Suceava, Str Univ 13, Suceava 720229, Romania
来源:
BRAIN-BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE
|
2019年
/
10卷
关键词:
Big Data;
Big Data Features;
Eu Strategy for Big Data Adoption;
Opportunities;
Challenges;
D O I:
暂无
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
Large data volumes having various types and moving at high speed is the main feature of the current environment and is closely related to the Big Data concept. As a source of valuable insights, these data volumes have become an important asset for organizations, helping to make more informed and high-quality decisions. A real problem is that such data sets cannot be managed and processed by traditional methods. This paper presents some general aspects regarding Big Data and Big Data analytics - as source of deep insights, and it highlights some of the general opportunities, challenges and the European Commission strategy for Big Data.