
Manage big data
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This paper explores the applications of Big Data in business network analysis, focusing on how it enhances supply chain visibility, risk management, and demand forecasting. It also addresses challenges like data privacy, security, and managing large datasets.
11p
vijiraiya
19-05-2025
1
1
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In the rapidly evolving landscape of commerce and industry, the integration of Big Data analytics stands as a pivotal innovation driving transformation across market prediction and supply chain optimization. This paper delves into the methodologies and technologies underpinning behind the harnessing of Big Data to enhance predictive accuracy in market trends prediction and streamline supply chain processes.
13p
vijiraiya
19-05-2025
2
1
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This article presents an overview of Stream Algebra, a research field that has emerged after the birth of Relational Algebra used in Database Management Systems (DBMS). When Stream Data appeared and needed to be processed in real-time, the role of Stream Algebra became evident. Since the rise of Big Data, this field has received attention in recent years, the role of Stream Algebra has been further demonstrated.
7p
visarada
28-04-2025
1
1
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Lecture "Administration and visualization: Chapter 1 - Introduction to data management and visualization" provides students with content about: Big data in 2008; Big data sources; Data is the new oil; Introduction to data management;... Please refer to the detailed content of the lecture!
41p
gaupanda031
20-05-2024
27
4
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This paper uses Systematic Literature Review (SLR) to find the trends of usability of Big Data in education sector.
8p
lucastanguyen
01-06-2020
17
4
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Over the past decade, governments around the world have been trying to take advantage of Big Data technology to improve public services with citizens. The adoption of Big Data has increased in most countries, but at the same time, the rate of successful adoption and management varies from one country to another.
12p
lucastanguyen
01-06-2020
19
2
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Due to the premature stage of big data research, the supply has not been able to keep up with the demand from organizations that want to leverage on big data analytics. Big data explorers and big data adopters struggle with access to qualitative as well as quantitative research on big data. The lack of access to big data know-how information, best practice advice and guidelines drove this study. The objective is to contribute to efforts being made to support a wider adoption of big data analytics.
99p
nguyenyenyn117
14-06-2019
56
4
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