scholarly journals Research on Library Construction and Management Mode Innovation of Higher Vocational Colleges in the Era of Big Data

2019 ◽  
Vol 3 (2) ◽  
pp. 51
Author(s):  
Bing Gao ◽  
Suqin Dong

<p>Human beings have entered the era of big data. China has made remarkable achievements in information technology. In this situation, the libraries of higher vocational colleges are also facing new opportunities and challenges, and the construction and management of libraries have been greatly affected. The traditional library management and operation mode have been unable to meet the needs of users. With the development and popularization of information technology, the management of library also needs continuous innovation and development. Some libraries in China have introduced information technology into their own management and construction. In this new development situation, library managers should seriously consider how to grasp the historical opportunity and deal with various future challenges more effectively under the background of the era of big data and information. This paper will analyze the library management and construction mode of higher vocational colleges, and discuss how to carry out the innovation of library management mode under the background of big data.</p>

2020 ◽  
Vol 9 (7) ◽  
pp. 148
Author(s):  
Xiaozheng Yang

At present, with the development of information technology, cloud computing and big data have been integrated into various industries in society, and they also have a relatively prominent performance in education and teaching management. The greatly enhanced efficiency of education and teaching information management in universities is a sustainable future for universities. The inevitable choice for sending letters. This article studies and discusses the informatization strategy of education and teaching management in higher vocational colleges in the era of cloud computing and big data, hoping to provide some useful suggestions for the development of higher vocational education in our country.


2021 ◽  
Vol 2074 (1) ◽  
pp. 011001
Author(s):  
Wei Wei ◽  
Jia Han

2021International Conference on Information Technology and Big Data Engineering were successfully held online from 25th to 27th of April 2021, Wuhan, China. The conference was jointly organized and sponsored by Shaanxi Juxing Exhibition Co., Ltd and Juneng Electronic Technology Co., Ltd. Called by Dr. Wei Wei from Xi'an University of Technology and researcher Jia Han from College of Computer Science, Xi'an Shiyou University, the conference invited scholars and experts in the fields of information technology, big data engineering, computer engineering from various universities to participate in the review and guidance of this conference. The conference focuses on the latest research fields such as "information technology", "big data engineering" and "computer engineering", and aims to provide an international cooperation and exchange platform for experts, scholars and business managers in the fields of information technology, big data engineering, computer engineering application to share their research achievements, discuss the key challenges and research directions of the development of this field, and jointly promote the industrialization cooperation and continuous innovation of international academic achievements. This collection of Proceedings compiles oral and paper presentations submitted by the authors and scrutinized by the Special Committee. List of Organizing Committee, Scientific Committee, Editorial Committee, Invited Speakers, Organizing Institutions, Sponsors are available in this pdf.


Author(s):  
Vivek Raich ◽  
Pankaj Maurya

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.


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