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A User-friendly and Powerful R Analysis of Large-scale Datasets
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A survey of big data research.
Hua Fang1, Zhaoyang Zhang2, Chanpaul Jin Wang2
1University of Massachusetts Medical School, MA, USA.
IEEE Network
|October 28, 2015
Summary
Big data offers significant business and research value but presents challenges. Multidisciplinary collaboration is essential for big data initiatives, technologies, and ethical solutions.
Area of Science:
- Computer Science
- Data Science
- Information Science
Background:
- Big data presents significant challenges in networking, storage, management, analytics, and ethics.
- The increasing volume, velocity, and variety of data necessitate advanced approaches.
Purpose of the Study:
- To provide a comprehensive overview of big data initiatives, technologies, and research.
- To discuss the challenges associated with big data and explore potential solutions.
Main Methods:
- Survey of current big data research and industry practices.
- Analysis of existing big data technologies and their applications.
- Identification of multidisciplinary collaboration requirements.
Main Results:
- Big data initiatives are emerging across various industries and academic fields.
- Key technologies for big data management and analytics are highlighted.
- Ethical considerations and data governance are critical challenges.
Conclusions:
- Multidisciplinary collaboration is crucial for effectively harnessing big data.
- Addressing challenges in networking, storage, management, analytics, and ethics is vital.
- Continued research and development are needed to maximize big data's potential.
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