TY - JOUR
T1 - The big data visualization technology based ecosystem cycle on high speed network
AU - Kim, Hye Sun
AU - Jeong, Hwa Young
AU - Joo, Hae Jong
N1 - Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - Big Data is becoming a key strategy in the business sector, with the increasing number of corporate customer data tracking and collection practices, and the proliferation of multimedia content, such as the proliferation of multimedia and camera modules, and the proliferation of multimedia content. In this paper, we proposed a Big Data ecosystem cycle to create the data utilization strategies and analytic manpower for the success of data utilization with the data uptake. Big Data growth and investment with visualizations are critical to creating a significant role in the development of various Big Data business models. First of all, it is necessary to improve the data for innovation (Releasing Data for Innovation) and data visualization, to minimize the risk of privacy, and to mitigate the risk of privacy leaks to facilitate the promotion of Big Data utilization. It needs to comply with the standardization of Big Data requirements based on ISO/IEC geurigo 1 SC JTC data, and it has necessary to identify the scale of the existing architectures for the sake of accommodating and supporting the architecture that embrace the benefits of legacy architectures.
AB - Big Data is becoming a key strategy in the business sector, with the increasing number of corporate customer data tracking and collection practices, and the proliferation of multimedia content, such as the proliferation of multimedia and camera modules, and the proliferation of multimedia content. In this paper, we proposed a Big Data ecosystem cycle to create the data utilization strategies and analytic manpower for the success of data utilization with the data uptake. Big Data growth and investment with visualizations are critical to creating a significant role in the development of various Big Data business models. First of all, it is necessary to improve the data for innovation (Releasing Data for Innovation) and data visualization, to minimize the risk of privacy, and to mitigate the risk of privacy leaks to facilitate the promotion of Big Data utilization. It needs to comply with the standardization of Big Data requirements based on ISO/IEC geurigo 1 SC JTC data, and it has necessary to identify the scale of the existing architectures for the sake of accommodating and supporting the architecture that embrace the benefits of legacy architectures.
KW - BI solution
KW - Big data ecosystem cycle
KW - Big data utilization case
KW - Big data visualization
UR - http://www.scopus.com/inward/record.url?scp=85070768655&partnerID=8YFLogxK
U2 - 10.1007/s11042-019-08056-4
DO - 10.1007/s11042-019-08056-4
M3 - Article
AN - SCOPUS:85070768655
SN - 1380-7501
VL - 78
SP - 28903
EP - 28916
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
IS - 20
ER -