scholarly journals Opportunities, challenges and countermeasures of the development of big data industry in the state-level Nanchang Economic and Technological Development Zone

Author(s):  
Huang Xiao Ping

The global information technology revolution is promoting the development of new economy at the core of big data, and the big data industry has become the strategic commanding point in competition among countries. Development of the large data industry in the state-level Nanchang Economic and Technological Development Zone has a brilliant future. The state-level Nanchang Economic and Technological Development Zone should focus on the development of big data services, which are related to the ‘3 + X’ industry system and big data products manufacturing. At the same time, the state-level Nanchang Economic and Technological Development Zone should plan the implementation path, focusing on the implementation of infrastructure construction, industrial training, strengthening the ranks of personnel, investment and six other projects. Finally, state-level Nanchang Economic and Technological Development Zone should put forward and carry out measures from the following five perspectives: perfecting organisation mechanism, reinforcing policy assurance, improving the supporting industries and optimising the investment environment.   Keywords: State level, big data, industry, opportunity, countermeasures.

Author(s):  
Vladislav Andreyevich Shcherbakov ◽  
◽  
Svetlana Aleksandrovna Chevereva ◽  

The definition of the term Big Date is given. Particular attention is paid to how, in practice, Big Data technology is being introduced into people's lives at the state level and how it can be used for total control using the example of the People’s Republic of China.


Author(s):  
Jamie Farnes ◽  
Ben Mort ◽  
Fred Dulwich ◽  
Stef Salvini ◽  
Wes Armour

The Square Kilometre Array (SKA) will be both the largest radio telescope ever constructed and the largest Big Data project in the known Universe. The first phase of the project will generate on the order of 5 zettabytes of data per year. A critical task for the SKA will be its ability to process data for science, which will need to be conducted by science pipelines. Together with polarization data from the LOFAR Multifrequency Snapshot Sky Survey (MSSS), we have been developing a realistic SKA-like science pipeline that can handle the large data volumes generated by LOFAR at 150 MHz. The pipeline uses task-based parallelism to image, detect sources, and perform Faraday Tomography across the entire LOFAR sky. The project thereby provides a unique opportunity to contribute to the technological development of the SKA telescope, while simultaneously enabling cutting-edge scientific results. In this paper, we provide an update on current efforts to develop a science pipeline that can enable tight constraints on the magnetised large-scale structure of the Universe.


2020 ◽  
Vol 14 (4) ◽  
pp. 681-699
Author(s):  
Aras Okuyucu ◽  
Nilay Yavuz

Purpose Despite several big data maturity models developed for businesses, assessment of big data maturity in the public sector is an under-explored yet important area. Accordingly, the purpose of this study is to identify the big data maturity models developed specifically for the public sector and evaluate two major big data maturity models in that respect: one at the state level and the other at the organizational level. Design/methodology/approach A literature search is conducted using Web of Science and Google Scholar to determine big data maturity models explicitly addressing big data adoption by governments, and then two major models are identified and compared: Klievink et al.’s Big Data maturity model and Kuraeva’s Big Data maturity model. Findings While Klievink et al.’s model is designed to evaluate Big Data maturity at the organizational level, Kuraeva’s model is appropriate for assessments at the state level. The first model sheds light on the micro-level factors considering the specific data collection routines and requirements of the public organizations, whereas the second one provides a general framework in terms of the conditions necessary for government’s big data maturity such as legislative framework and national policy dimensions (strategic plans and actions). Originality/value This study contributes to the literature by identifying and evaluating the models specifically designed to assess big data maturity in the public sector. Based on the review, it provides insights about the development of integrated models to evaluate big data maturity in the public sector.


Author(s):  
Jamie Farnes ◽  
Ben Mort ◽  
Fred Dulwich ◽  
Stef Salvini ◽  
Wes Armour

The Square Kilometre Array (SKA) will be both the largest radio telescope ever constructed and the largest Big Data project in the known Universe. The first phase of the project will generate on the order of 5 zettabytes of data per year. A critical task for the SKA will be its ability to process data for science, which will need to be conducted by science pipelines. Together with polarization data from the LOFAR Multifrequency Snapshot Sky Survey (MSSS), we have been developing a realistic SKA-like science pipeline that can handle the large data volumes generated by LOFAR at 150 MHz. The pipeline uses task-based parallelism to image, detect sources, and perform Faraday Tomography across the entire LOFAR sky. The project thereby provides a unique opportunity to contribute to the technological development of the SKA telescope, while simultaneously enabling cutting-edge scientific results. In this paper, we provide an update on current efforts to develop a science pipeline that can enable tight constraints on the magnetised large-scale structure of the Universe.


Author(s):  
Жуковская Ирина ◽  

This article shows that the digitalization of the economy is the cornerstone in the creation and development of “digital cities”. In particular, it was noted that in the Republic of Uzbekistan at the state level, work has begun on the implementation of the comprehensive program “Digital Tashkent”, which will improve the activities of the national economy through the use of advanced technologies such as Big-Data, blockchain, Internet of things, etc., and will also contribute to improving the quality of life of the country's population.


Galaxies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 120 ◽  
Author(s):  
Jamie Farnes ◽  
Ben Mort ◽  
Fred Dulwich ◽  
Stef Salvini ◽  
Wes Armour

The Square Kilometre Array (SKA) will be both the largest radio telescope ever constructed and the largest Big Data project in the known Universe. The first phase of the project will generate on the order of five zettabytes of data per year. A critical task for the SKA will be its ability to process data for science, which will need to be conducted by science pipelines. Together with polarization data from the LOFAR Multifrequency Snapshot Sky Survey (MSSS), we have been developing a realistic SKA-like science pipeline that can handle the large data volumes generated by LOFAR at 150 MHz. The pipeline uses task-based parallelism to image, detect sources and perform Faraday tomography across the entire LOFAR sky. The project thereby provides a unique opportunity to contribute to the technological development of the SKA telescope, while simultaneously enabling cutting-edge scientific results. In this paper, we provide an update on current efforts to develop a science pipeline that can enable tight constraints on the magnetised large-scale structure of the Universe.


Author(s):  
Zinaida Shuklina

The article presents the author’s approach to understanding the main problem of national resource supply through the prism of choosing the fundamentals and directions that can move the situation from the dead point, highlighting conceptual ideas and placing emphasis on the development of the country’s economy. Assuming the idea of multiplying, increasing the national wealth of the country, the author considers the availability and structure of resources, the correlation of resource use, income generation and distribution. Countries rich in natural resources are perceived and assessed ambiguously, and in this connection the concepts and concepts of the «curse of resources» and «Dutch disease» appeared in science, the importance of which is reduced to the state management of the economy and resources. The ideas of development can be very different. The statesmen need to make a strategic choice between eroding national sovereignty within the framework of deepening integration into a single world civilization, building up the power and dominating the country as an empire, with a hyper-egoistic orientation only to increase the welfare of ruling elites or dynamically improve the quality of life of Russians with the recognition of the value of each individual at the state level. And this task is not only a constitutional guarantee, but an ideological development, a socio-economic ideology and a worldview. The emergence and adoption of a search strategy for the best solution in the allocation, combination of resources and structuring of the economy, in determining an exceptional resource-technological path for the benefit of the country and the people is extremely relevant. The optimistic scenario is related to synergetic processes in the innovation economy, as in space and time transformations take place in the worldview, creativity and activity, in understanding the role of man in the resource environment, in applying new methods and technologies for managing natural and economic resources, taking into account environmental safety and technological development. Depending on the chosen path, idea, development stage, different resources can be involved, but the development goal should be understood clearly, implemented systematically and in a complex manner.


2021 ◽  
Vol 251 ◽  
pp. 01006
Author(s):  
Yilin Wang

Using the data of manufacturing enterprises from 2003 to 2013 and the data of the state-level economic and technological development zone and high-tech development zone from 2010 to 2012, this paper uses BD-DD dual robust identification strategy to analyse the impact mechanism of the overflow effect of the establishment of state-level development zones by accurately judging the geographical relationship between enterprises and development zones. The results show that the development zone has a significant spillover effect on the surrounding manufacturing enterprises, and the total factor productivity of enterprises within 1000m is about 9% higher than that of enterprises within 1000m from the boundary of the development zone and the existence of Marshall’s adjust theory is tested. Spillover effects have a range of 1000m on innovation, while human capital is only 500m, indicating that knowledge spillover effects established in development zones are the main source of gathering externality. From the different characteristics of manufacturing, high-tech or mature manufacturing enterprises are more affected by spillover effects, possibly because high-tech or mature enterprises and regional enterprises overlap more in factors of production or technology, it is more likely to form Marshall cluster externality.


Sign in / Sign up

Export Citation Format

Share Document