Abstract
At present, with the continuous development of big data technology, global data shows a trend of rapid development. Traditional data processing methods can no longer adapt to the development and challenges of the new era. Technology needs to be constantly updated, and advanced information technology can improve the value of data. It is publicly stated that the multi-dimensional expansion of big data technology is widely used in various departments, promoting the progress and development of the industry, and China’s economic development has entered a new era. The multi-level development of multi-dimensional expansion of big data technology provides new opportunities for economic statistics. Statistics departments should follow the development trend of the new era, and bring high-quality and latest multi-level technology into the work of economic departments in the new era, in order to improve work efficiency and serve the realization of high-quality development of China’s economic industry. The scientific application of high data technology can fully improve the production efficiency and ensure the functional compatibility and integration of economic industry. However, the development of domestic economic industry is a kind of situation. In this case, different industries do not interfere with each other and operate independently, which seriously limits the multi-dimensional expansion of a large number of data technology. Therefore, in the era of massive data dissemination, China’s economic industry should deepen the research and development of relevant technical knowledge, and help China’s economic industry carry out innovation and management update. Let China’s economic sectors help each other and form a huge industry group, so that China’s economic development can be at the forefront of the world.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Tang, C., Zhang, L., Zhang, Y., et al.: Bidirectional satellite communication under same frequency transmission with non-linear self-interference reduction algorithm. IET Commun. 12(1), 52–58 (2018)
Yuanyu, Z.: Generation of 3rd order intermodulation products in RoF system and its use in inter-satellite communication. Int. J. Chem. Chem. Eng. 8(1), 81–86 (2018)
Gladyshev, A.B., Dmitriev, D.D., Ratushnyak, V.N., et al.: Stand for measuring the directional characteristics of antennas of satellite communication systems. Spacecr. Technol. 4(4), 201–208 (2020)
Kan, T., Jeong, B., Susukita, H., et al.: Experimental results of seasonal variation of shadowing by Ka-Band mobile satellite communication. Trans. Jpn Soc. Aeronaut. Space Sci. Aerosp. Technol. Jpn. 18(6), 363–368 (2020)
Akpakwu, G., Silva, B., Hancke, G.P., et al.: A survey on 5G networks for the Internet of Things: communication technologies and challenges. IEEE Access 5(12), 3619–3647 (2018)
Robinson, H., Al-Freih, M., Kilgore, W.: Designing with care: towards a care-centered model for online learning design. Int. J. Inf. Learn. Technol. 37(3), 99–108 (2020)
Jakowluk, W., Wiercz, M.: Application-oriented experiment design for model predictive control. Bull. Pol. Acad. Sci. Tech. Sci. 68(4), 883–891 (2020)
Rao, J., Vrzic, S.: Packet duplication for URLLC in 5G: architectural enhancements and performance analysis. IEEE Net. 32(2), 32–40 (2018)
Gordeev, B.A., Ermolaev, A.I., Erofeev, V.I., et al.: Model-based design of magnetorheological hydromounts. Proc. Hig. Educ. Inst. Mach. Build. 10(727), 13–25 (2020)
Bekimetov, A.F.: Modelling and analysis of vivaldi antenna structure design for broadband communication systems. Acta Turin Polytech. Univ. Tashkent 9(4), 2 (2019)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Liu, M., Wang, X. (2021). Multi-dimensional Expansion of China’s Economic Industry Technology in the Age of Big Data. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_115
Download citation
DOI: https://doi.org/10.1007/978-3-030-79200-8_115
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79199-5
Online ISBN: 978-3-030-79200-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)