Exploring the form of big data products and the supporting systems


연구 분야: Software Development



학회: Journal of Big Data


초록

There have been studies and practices about forms and supporting systems of single-type data products. However, little literature is dedicated to these factors of big data products, which are huge in volume and contain a variety of different types of data. For example, we do not know the form of data composed of a relation table and a digital video file at the same time. The lack of certain forms of big data products makes it impossible to design its base unit for measuring. It also causes difficulties in pricing and valuation of big data products, and further causes issues of circulation and supporting services. In this paper, we analyze the challenges of productizing big data. By referring to information media such as books, a product form and supporting systems of big data products based on Data Box are proposed. Different from previous studies, we focus on the system-level design and systematically study the pipeline including containerization, circulation, pricing, protection and etc. The proposed Data Box-based big data products and supporting systems can have a positive influence on the research, exploitation, exchange, and circulation of big data products.


Author Profile
Yazhen Ye

Shanghai Key Laboratory of Data Science School of Computer Science Fudan University Shanghai China

China
Author Profile
Yao Zhang

Shanghai Institute for Advanced Communication and Data Science Shanghai China

Andorra
Author Profile
Yangyong Zhu

Shanghai Key Laboratory of Data Science School of Computer Science Fudan University Shanghai China

China

📄 논문 정보

발행 연도 2022년
인용수 2
출판 국가 Andorra, China
사이트 Springer
좋아요 수 0

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