TY - GEN
T1 - New Engine to Promote Big Data Industry Upgrade
AU - He, Jing
AU - Wang, Chuyi
AU - Chen, Haonan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
PY - 2021
Y1 - 2021
N2 - In 2020, the development of the big data industry will face severe challenges of transformation and upgrading. This article explores a series of issues in the big data industry upgrade from two levels: big data industrialization and big data industry chain. For the industrialization of big data, the industry starts from the core construction of big data industrialization, utilizes general big data platform as framework, and aggregates the horizontal industrial ecological layout and the vertical industrial ecological chain to form horizontal and vertical big data platforms respectively. The industry chain for big data is equipped with a docking mechanism that is different from the traditional chain association relationship. Through the multi-dimensional support and expansion of the big data industry chain, the framework and map of the industry chain are constructed, and the generation of a variety of technical models, system and methods of the big data industry chain is promoted. Finally, a big data product system composed of hardware products, software products, and integration products of both is built. The above analysis will help improve the service performance of the big data industry, improve the data connectivity of technology and the environment, and ultimately promote the big data industry upgrade.
AB - In 2020, the development of the big data industry will face severe challenges of transformation and upgrading. This article explores a series of issues in the big data industry upgrade from two levels: big data industrialization and big data industry chain. For the industrialization of big data, the industry starts from the core construction of big data industrialization, utilizes general big data platform as framework, and aggregates the horizontal industrial ecological layout and the vertical industrial ecological chain to form horizontal and vertical big data platforms respectively. The industry chain for big data is equipped with a docking mechanism that is different from the traditional chain association relationship. Through the multi-dimensional support and expansion of the big data industry chain, the framework and map of the industry chain are constructed, and the generation of a variety of technical models, system and methods of the big data industry chain is promoted. Finally, a big data product system composed of hardware products, software products, and integration products of both is built. The above analysis will help improve the service performance of the big data industry, improve the data connectivity of technology and the environment, and ultimately promote the big data industry upgrade.
KW - Big data
KW - Big data industrial chain
KW - Big data industrialization
KW - Industrial upgrade
UR - https://www.scopus.com/pages/publications/85130745599
U2 - 10.1007/978-3-030-80126-7_18
DO - 10.1007/978-3-030-80126-7_18
M3 - 会议稿件
AN - SCOPUS:85130745599
T3 - Intelligent Computing - Proceedings of the 2021 Computing Conference
SP - 232
EP - 248
BT - Intelligent Computing - Proceedings of the 2021 Computing Conference
A2 - Arai, Kohei
PB - Springer Nature
T2 - Computing Conference 2021
Y2 - 15 July 2021 through 16 July 2021
ER -