Research on personalized image retrieval technology of video stream big data management model

2021 ◽  
Author(s):  
Wei Zhuo ◽  
Zhichao He ◽  
Mengying Zheng ◽  
Beichen Hu ◽  
Ruijuan Wang
Keyword(s):  
Big Data ◽  
Image Retrieval ◽  
Data Management ◽  
Video Stream ◽  
Management Model

scholarly journals Development Model of Business Management Based on Big Data

2021 ◽  
Vol 275 ◽  
pp. 01041
Author(s):  
Zhongtian Xie
Keyword(s):  
Big Data ◽  
Data Management ◽  
Management Strategies ◽  
Business Management ◽  
Real Life ◽  
Graphical Analysis ◽  
Development Model ◽  
Theoretical Research ◽  
Management Model ◽  
Commercial Applications

In recent years, with the continuous development of network information technology, a large amount of data information has gradually appeared in real life. One of the most obvious examples is the new data management development model based on big data. In the context of big data, e-commerce has developed rapidly, and products and services have become more diverse. However, at the same time, there are many problems, such as insecurity of user information, increasing differences in transactions, and lack of management strategies. This article mainly introduces how to solve existing problems and make business management more suitable for the arrival of the big data era. This article uses bibliographic analysis, benchmark analysis, graphical analysis and case analysis to conduct an in-depth discussion on theoretical research and commercial applications of big data. Classify and divide ubiquitous different types and irregular massive data, and propose different big data solutions according to different categories. Finally, a complete set of big data management model was established to verify the feasibility of the big data management model. Big data has increased the efficiency of business management by nearly 30%.

scholarly journals DaLiF: a data lifecycle framework for data-driven governments

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Syed Iftikhar Hussain Shah ◽  
Vassilios Peristeras ◽  
Ioannis Magnisalis
Keyword(s):  
Big Data ◽  
Data Management ◽  
Good Governance ◽  
Business Community ◽  
Data Driven ◽  
Governmental Organizations ◽  
Data Lifecycle ◽  
The Government ◽  
Data Ecosystem ◽  
Governance Transparency

AbstractThe public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. This kind of data is known as big data. Public Administrations (PAs) pursue big data as “new oil” and implement data-centric policies to transform data into knowledge, to promote good governance, transparency, innovative digital services, and citizens’ engagement in public policy. From the above, the Government Big Data Ecosystem (GBDE) emerges. Managing big data throughout its lifecycle becomes a challenging task for governmental organizations. Despite the vast interest in this ecosystem, appropriate big data management is still a challenge. This study intends to fill the above-mentioned gap by proposing a data lifecycle framework for data-driven governments. Through a Systematic Literature Review, we identified and analysed 76 data lifecycles models to propose a data lifecycle framework for data-driven governments (DaliF). In this way, we contribute to the ongoing discussion around big data management, which attracts researchers’ and practitioners’ interest.

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