Evaluating push-down on NoSQL data sources: experiments and analysis paper

Michał Bodziony; Rafał Morawski; Robert Wrembel

doi:10.1145/3530050.3532916

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Title

Evaluating push-down on NoSQL data sources: experiments and analysis paper

Authors

Michał Bodziony (WIiT) ^{[ 1 ][ 2.3 ][ SzD ]}
Rafał Morawski
Robert Wrembel (WIiT) ^{[ 2 ][ 2.3 ][ P ]}

^{[ 1 ]} Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ 2 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ SzD ]} doctoral school student | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Abstract

EN Reducing execution time of data integration processes is a challenging and still only partially solved research and technological problem. A few optimization techniques have been developed and applied in practice. One of them is called push-down. It consists in moving the execution of some data processing tasks into a data source. This technique has been developed and evaluated on relational data sources. In this paper, we report our evaluation of push-down on NoSQL data sources, i.e., MongoDB and Cassandra, deployed on a micro-cluster.

Date of online publication

12.06.2022

Pages (from - to)

1 - 6

DOI

10.1145/3530050.3532916

URL

https://dl.acm.org/doi/10.1145/3530050.3532916

Comments

Article No. 4

Book

Proceedings of the International Workshop on Big Data in Emergent Distributed Environments (BiDEDE 2022) : in conjunction with the 2022 ACM SIGMOD/PODS Conference in Philadelphia, PA, USA