The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Big data: Issues, challenges, tools and Good practices
Abstract
Big data is defined as large amount of data which requires new technologies and architectures so that it becomes possible to extract value from it by capturing and analysis process. Due to such large size of data it becomes very difficult to perform effective analysis using the existing traditional techniques. Big data due to its various properties like volume, velocity, variety, variability, value and complexity put forward many challenges. Since Big data is a recent upcoming technology in the market which can bring huge benefits to the business organizations, it becomes necessary that various challenges and issues associated in bringing and adapting to this technology are brought into light. This paper introduces the Big data technology along with its importance in the modern world and existing projects which are effective and important in changing the concept of science into big science and society too. The various challenges and issues in adapting and accepting Big data technology, its tools (Hadoop) are also discussed in detail along with the problems Hadoop is facing. The paper concludes with the Good Big data practices to be followed.
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Cites
Madden, S. (2012) · IEEE Internet Computing · doi:10.1109/mic.2012.50 · Cited by 509
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Tsai, C.-W., Lai, C.-F., Chao, H.-C., & Vasilakos, A. V. (2015) · Journal of Big Data · doi:10.1186/s40537-015-0030-3 · Cited by 818
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Big Data: Survey, Technologies, Opportunities, and Challenges
Khan, N., Yaqoob, I., Hashem, I. A. T., Inayat, Z., Mahmoud Ali, W. K., Alam, M., Shiraz, M., & Gani, A. (2014) · The Scientific World Journal · doi:10.1155/2014/712826 · Cited by 547
Real-time big data processing for anomaly detection: A survey
Ariyaluran Habeeb, R. A., Nasaruddin, F., Gani, A., Targio Hashem, I. A., Ahmed, E., & Imran, M. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.08.006 · Cited by 487
Metadata
- Authors
- Katal, A., Wazid, M., & Goudar, R. H.
- Venue
- 2013 Sixth International Conference on Contemporary Computing (IC3)
- Publisher
- IEEE
- Published
- 2013-08
- Pages
- 404-409
- ISSN
- 2572-6110 (ISSN-L)
- OpenAlex
- W2095178814
- Cited by
- 862
- References
- 1
- FWCI
- 95.36
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Katal, A., Wazid, M., & Goudar, R. H. (2013). Big data: Issues, challenges, tools and Good practices. 2013 Sixth International Conference on Contemporary Computing (IC3). https://doi.org/10.1109/ic3.2013.6612229
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
