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Proceedings of the 17th International Workshop on Data Warehousing and OLAP - DOLAP '14 - Optimization of Data-intensive Flows by Kougka, Georgia; Gounaris, Anastasios is a scholarly article available to read on EtoBox.

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Modern data analysis is increasingly employing data-intensive flows for processing very large volumes of data. As the data flows become more and more complex and operate in a highly dynamic environment, we argue that we need to resort to automated cost-based optimization solutions rather than relying on efficient designs by human experts. We further demonstrate that the current state-of-the-art in flow optimizations needs to be extended and we propose a promising direction for optimizing flows at the logical level, and more specifically, for deciding the sequence of flow tasks.

Author

Kougka, Georgia; Gounaris, Anastasios

Publisher

ACM Press

Published

2014

Language

EN