The Application and Research of Big Data in Internet Learning and Information Processing

2021 ◽  
Author(s):  
Bin Hu ◽  
Sha Liang
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Internet Learning

New Trends in Databases to NonSQL Databases

2021 ◽  
pp. 791-799
Author(s):  
Antonio Sarasa-Cabezuelo
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Real Time ◽  
Relational Databases ◽  
Data Models ◽  
Relational Model ◽  
Alternative Mechanism ◽  
New Models ◽  
Database Models

The appearance of the “big data” phenomenon has meant a change in the storage and information processing needs. This new context is characterized by 1) enormous amounts of information are available in heterogeneous formats and types, 2) information must be processed almost in real time, and 3) data models evolve periodically. Relational databases have limitations to respond to these needs in an optimal way. For these reasons, some companies such as Google or Amazon decided to create new database models (different from the relational model) that solve the needs raised in the context of big data without the limitations of relational databases. These new models are the origin of the so-called NonSQL databases. Currently, NonSQL databases have been constituted as an alternative mechanism to the relational model and its use is widely extended. The main objective of this chapter is to introduce the NonSQL databases.

scholarly journals Creating Sustainable Innovativeness through Big Data and Big Data Analytics Capability: From the Perspective of the Information Processing Theory

2020 ◽  
Vol 12 (5) ◽  
pp. 1984
Author(s):  
Michael Song ◽  
Haili Zhang ◽  
Jinjin Heng
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The United States ◽  
Information Processing Theory ◽  
Processing Theory ◽  
Study Results ◽  
Analytics Capability ◽  
Cross National

Service innovativeness is a key sustainable competitive advantage that increases sustainability of enterprise development. Literature suggests that big data and big data analytics capability (BDAC) enhance sustainable performance. Yet, no studies have examined how big data and BDAC affect service innovativeness. To fill this research gap, based on the information processing theory (IPT), we examine how fits and misfits between big data and BDAC affect service innovativeness. To increase cross-national generalizability of the study results, we collected data from 1403 new service development (NSD) projects in the United States, China and Singapore. Dummy regression method was used to test the model. The results indicate that for all three countries, high big data and high BDAC has the greatest effect on sustainable innovativeness. In China, fits are always better than misfits for creating sustainable innovativeness. In the U.S., high big data is always better for increasing sustainable innovativeness than low big data is. In contrast, in Singapore, high BDAC is always better for enhancing sustainable innovativeness than low BDAC is. This study extends the IPT and enriches cross-national research of big data and BDAC. We conclude the article with suggestions of research limitations and future research directions.

scholarly journals Application of hierarchic authentication to isogenies of elliptic curves for providing safety of data routing in the systems of analysis of digital production traffic

2018 ◽  
Vol 44 ◽  
pp. 00007
Author(s):  
Elena Alexandrova ◽  
Maria Poltavtseva ◽  
Anastasia Yarmak
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Elliptic Curves ◽  
Traffic Analysis ◽  
Quantum Systems ◽  
Data Routing ◽  
Digital Production ◽  
A Chain

The article discusses the peculiarities of the process of information routing in the course of acquisition and processing big data of digital production, including systems of traffic analysis. Such a specific features variability of physical nodes-processors with the retention of functional stringency of order of information processing is distinguished. Inordertoprovidesafetyofthedescribedprocessofinformationprocessingand possibility of restoration of a chain of processing every fragment of data, the authors offer a protocol of hierarchic authentication developed thereby on isogenies of elliptic curves. The work includes algorithms of shaping parameters, generation of keys, generation and checking signature. The evaluation of signature stability again basic types of attacks has been performed. A solution offered by the authors can be used both in traditional and, in future, in quantum systems. A simulation of corresponding signature dimensions has been performed in the work.

Enabling integrated business planning through big data analytics: a case study on sales and operations planning

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alexander Schlegel ◽  
Hendrik Sebastian Birkel ◽  
Evi Hartmann
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Data Analytics ◽  
Single Case ◽  
Big Data Analytics ◽  
Business Planning ◽  
Operations Planning ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this study is to investigate how big data analytics capabilities (BDAC) enable the implementation of integrated business planning (IBP) – the advanced form of sales and operations planning (S&OP) – by counteracting the increasing information processing requirements.Design/methodology/approachThe research model is grounded in the organizational information processing theory (OIPT). An embedded single case study on a multinational agrochemical company with multiple geographically distinguished sub-units of analysis was conducted. Data were collected in workshops, semistructured interviews as well as direct observations and enriched by secondary data from internal company sources as well as publicly available sources.FindingsThe results show the relevancy of establishing BDAC within an organization to apply IBP by providing empirical evidence of BDA solutions in S&OP. The study highlights how BDAC increase an organization's information processing capacity and consequently enable efficient and effective S&OP. Practical guidance toward the development of tangible, human and intangible BDAC in a particular sequence is given.Originality/valueThis study is the first theoretically grounded, empirical investigation of S&OP implementation journeys under consideration of the impact of BDAC.

Analysis of Computer Information Processing Technology in Era of Big Data

2014 ◽  
Vol 687-691 ◽  
pp. 2772-2775 ◽  
Author(s):  
Shao Hua Nie
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Mobile Devices ◽  
Development Prospect ◽  
Processing Technology ◽  
Continuous Development

With the continuous development of technology, a variety of computer and mobile devices constantly creat huge amounts of information, this phenomenon will continue to repeat, and today's world has been transferring towards "big data" era. The arrival of the era of big data of the computer information processing technology has brought a very big impact. This article describes the computer information processing technology, pointed out the lack of background in big data computer information processing technology and make its application and development prospect analysis.

scholarly journals Computer Information Processing Technology in the Age of Big Data

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Emilin Mathew
Keyword(s):  
Information Technology ◽  
Information System ◽  
Big Data ◽  
Information Processing ◽  
Information Resources ◽  
Processing Technology ◽  
Computer Application ◽  
Technology Application ◽  
Computer Equipment ◽  
Computer Information System

Under the background of big data times, information technology means emerge endlessly, and the value of technology application is improved gradually. At present, each industry gradually applies the information processing technology related to computer system to carry out the work of information resource processing. With the support of computer equipment, the processing of information resources is more efficient and accurate. In the process of computer application, the computer information system should be optimized and perfected by many technical means, and the application standard of each technique should also be defined, so that the accuracy and reliability of information processing can be further enhanced. Based on this, this paper will discuss the computer information processing technology in the big data age.

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