scholarly journals Development Model of Business Management Based on Big Data

2021 ◽  
Vol 275 ◽  
pp. 01041
Author(s):  
Zhongtian Xie
Keyword(s):  
Big Data ◽  
Data Management ◽  
Management Strategies ◽  
Business Management ◽  
Real Life ◽  
Graphical Analysis ◽  
Development Model ◽  
Theoretical Research ◽  
Management Model ◽  
Commercial Applications

In recent years, with the continuous development of network information technology, a large amount of data information has gradually appeared in real life. One of the most obvious examples is the new data management development model based on big data. In the context of big data, e-commerce has developed rapidly, and products and services have become more diverse. However, at the same time, there are many problems, such as insecurity of user information, increasing differences in transactions, and lack of management strategies. This article mainly introduces how to solve existing problems and make business management more suitable for the arrival of the big data era. This article uses bibliographic analysis, benchmark analysis, graphical analysis and case analysis to conduct an in-depth discussion on theoretical research and commercial applications of big data. Classify and divide ubiquitous different types and irregular massive data, and propose different big data solutions according to different categories. Finally, a complete set of big data management model was established to verify the feasibility of the big data management model. Big data has increased the efficiency of business management by nearly 30%.

scholarly journals Management Model on Electronic Commerce Data Based on Cloud Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hailan Pan ◽  
Xiaohuan Yang
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Rapid Development ◽  
Business Management ◽  
Graphical Analysis ◽  
Theoretical Research ◽  
Management Model ◽  
Commercial Application ◽  
Computing Platform ◽  
Management Measures

Judging from the current situation, China’s e-commerce companies are developing more and more rapidly, and the sales records of e-commerce platforms continue to break through. However, in this rapid development, many problems have been exposed. Because B2C e-commerce business management methods are different from traditional business management methods, there are many fundamental differences between the risks faced by traditional e-commerce companies and traditional enterprises. Compared with traditional enterprises, the risks faced by e-commerce enterprises have greater uncertainty and complexity, and the related risk management measures have not fully kept up with the development speed of B2C e-commerce and are still in the stage of continuous exploration. With the popularity of e-commerce and higher applicability, the research on e-commerce data management model is urgent. In order to study the e-commerce data management model, theoretical research and commercial application of cloud computing are discussed in depth from literature analysis, comparative analysis, graphical analysis, and case analysis. I hope to expand the application research of cloud computing platform in e-commerce. Finally, it proves that e-commerce has a good development advantage in the future development.

scholarly journals MODEL PENGELOLAAN KELAS INKLUSI DALAM PEMBELAJARAN PENDIDIKAN AGAMA ISLAM

2021 ◽  
pp. 15
Author(s):  
Rahmah Nurfitriani
Keyword(s):  
Classroom Management ◽  
Students With Disabilities ◽  
Positive Impact ◽  
Management Strategies ◽  
Real Life ◽  
Management Model ◽  
Inclusive Classroom ◽  
Students With Special Needs ◽  
Normal Children ◽  
Classroom Management Strategies

Inclusive class is a class that managed to serve learners with diverse characteristics, normal children and children with disabilities.This study aims to analyze the characteristics of students with special needs who study in SDN Sumbersari 1 Malang and SDN Junrejo 01 Batu, and to analyze the strategy of inclusive class management and the implication of inclusive classroom management modelon the success of Islamic Education Learning in the inclusive classroom SDN Sumbersari 1 Malang and SDN Junrejo 01 Batu.This study used a qualitative approach case study type with multi-site design. The findings showed that: 1) Characteristics graders inclusion in the SDN are: a) Students who are normal and b) Students with disabilities, consists of autism, mental retardation, ADHD, physical impairment, dyslexia, emotional disturbances and slow learner. 2) Based on the characteristics students, the inclusive classroom management model applied in the second SDN is a model of regular classes and special classes full models. But for SDN Sumbersari 1 Malang regular class models using pull put. The strategies GPAI manage regular classroom is the method of direct instruction in the classical and the provision of duty is differentiation according to the students' abilities. While the full special classroom management strategies conducted by GPK with the delivery of content and administration tasks that are specific to ABK. In addition to providing GPK from school, parents also play a role in the provision of shadow (companion) for students ABK in schools so that learning is effective, and 3) Implications of the inclusive classroom management model have a positive impact on learning outcomes, in addition students are also accustomed to apply Islamic religion values in real life, able to adapt, communicate and socialize well to each other.

scholarly journals Introduction to Big Data Computing for Geospatial Applications

2020 ◽  
Vol 9 (8) ◽  
pp. 487
Author(s):  
Zhenlong Li ◽  
Wenwu Tang ◽  
Qunying Huang ◽  
Eric Shook ◽  
Qingfeng Guan
Keyword(s):  
Big Data ◽  
Data Management ◽  
Management Strategies ◽  
Computational Thinking ◽  
Spatial Thinking ◽  
Future Research ◽  
Special Issue ◽  
Challenges And Opportunities ◽  
Data Structures And Algorithms ◽  
Future Research Directions

The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this special issue followed by an overview of the ten included articles. Conclusion and future research directions are provided in the last section.

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