Abstract
This is an epoch of Big data, Cloud computing, Cloud Database Management techniques. Traditional database approaches are not suitable for such colossal amount of data. To overcome the limitations of RDBMS, Map Reduce codes can be considered as a probable solution for such huge amount of data processing. Map Reduce codes provide both scalability and reliability. Users till date can work snugly with traditional Database approaches such as SQL, MYSQL, ORACLE, DB2, etc., and they are not aware of Map Reduce codes. In this paper, we are proposing a model which can convert any RDBMS queries to Map Reduce codes. We also gear optimization technique which can improve the performance of such amalgam approach.
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Malhotra, S., Doja, M.N., Alam, B., Alam, M. (2018). Generalized Query Processing Mechanism in Cloud Database Management System. In: Aggarwal, V., Bhatnagar, V., Mishra, D. (eds) Big Data Analytics. Advances in Intelligent Systems and Computing, vol 654. Springer, Singapore. https://doi.org/10.1007/978-981-10-6620-7_61
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DOI: https://doi.org/10.1007/978-981-10-6620-7_61
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