A Review on Big Data Analytics and Its Tools
Author:
Affiliation:
1. Assistant Professor, Gandhi Institute for Education & Technology, Baniyatangi, Khordha, Odisha
Abstract
Publisher
Technoscience Academy
Subject
Cardiology and Cardiovascular Medicine
Reference11 articles.
1. M. S. Mahmud, J. Z. Huang, S. Salloum, T. Z. Emara and K. Sadatdiynov, "A survey of data partitioning and sampling methods to support big data analysis," in Big Data Mining and Analytics, vol. 3, no. 2, pp. 85-101, June 2020, doi: 10.26599/BDMA.2019.9020015.
2. G. Zhai, Y. Yang, H. Wang and S. Du, "Multi-attention fusion modeling for sentiment analysis of educational big data," in Big Data Mining and Analytics, vol. 3, no. 4, pp. 311-319, Dec. 2020, doi: 10.26599/BDMA.2020.9020024.
3. S. Singh and N. Singh, "Big Data analytics," 2012 International Conference on Communication, Information & Computing Technology (ICCICT), 2012, pp. 1-4, doi: 10.1109/ICCICT.2012.6398180.
4. T. Garg and S. Khullar, "Big Data Analytics: Applications, Challenges & Future Directions," 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2020, pp. 923-928, doi: 10.1109/ICRITO48877.2020.9197797.
5. C. Komalavalli and C. Laroiya, "Challenges in Big Data Analytics Techniques: A Survey," 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2019, pp. 223-228, doi: 10.1109/CONFLUENCE.2019.8776932.
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