A Review on Recent Trends in Query Processing and Optimization in Big Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-09375-2.pdf
Reference46 articles.
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2. Liao, Y.-T., Zhou, J., Chia-Hung, Lu., Chen, S.-C., Hsu, C.-H., Chen, W., Jiang, M.-F., & Chung, Y.-C. (2016). Data adapter for querying and transformation between SQL and NoSQL database. Future Generation Computer Systems, 65, 111–121. https://doi.org/10.1016/j.future.2016.02.002
3. Zhong, Y., Han, J., Zhang, T., Li, Z., Fang, J., & Chen, G. (2012). Towards parallel spatial query processing for big spatial data. In: International Parallel and Distributed Processing Symposium Workshops and PhD Forum, p 21–25 May, Shanghai, China.
4. Sun, W., Chen, C., BaihuaZheng, C. C., & Liu, P. (2015). An air index for spatial query processing in road networks. IEEE Transactions on Knowledge and Data Engineering, 27(2), 382–395. https://doi.org/10.1109/TKDE.2014.2330836
5. Hambrusch, S., Liu, C., Aref, W., & Prabhakar, S. (2001). Query processing in broadcasted spatial index trees. In: International Symposium on Spatial Temporal Databases, July 12–15, Redondo Beach, CA, USA.
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