Acta Scientific Computer Sciences

Research Article Volume 3 Issue 1

Query Optimization for Big Data Batch Processing and Stream Processing

Radhya Sahal*

CONFIRM Centre for Smart Manufacturing, University College Cork, Ireland

*Corresponding Author: Radhya Sahal, CONFIRM Centre for Smart Manufacturing, School of Computer Science and IT, University College Cork, Ireland.

Received: November 11, 2021; Published: December 13, 2021

Abstract

  Big data refers to huge and complex data sets made up of a variety of structured and unstructured data that are too big, too fast and too hard to be managed by traditional techniques. Big data exceeds the processing capacity of conventional database systems. Recently, new technologies have been invented to analyze and query this massive data. In this work, we have introduced two types of big data query optimization including batch processing and streaming processing.


Keywords: Query; Optimization; DBMS; Batch Data Processing; MapReduce; Stream Data Processing

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Citation

Citation: Radhya Sahal. “Query Optimization for Big Data Batch Processing and Stream Processing". Acta Scientific Computer Sciences 3.1 (2022): 04-07.

Copyright

Copyright: © 2022 Radhya Sahal. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




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