Big Data Gets Bigger: What about Data Cleaning Analytics as a Storage Service?

Authors: 

Ayat Fekry, University of Cambridge

Abstract: 

The success of big data solutions principally rely on the timely extraction of valuable insights from data. This will continue to become more challenging due to the growths in data volume without corresponding increase in velocity. We advocate that storage systems of the future should include functionality to detect and harness fundamental data characteristics such as similarity and correlation. This has the potential to optimize storage space, reduce amount of processing needed for further information extraction, and save I/O and network communications.

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BibTeX
@inproceedings {203372,
author = {Ayat Fekry},
title = {Big Data Gets Bigger: What about Data Cleaning Analytics as a Storage Service?},
booktitle = {9th {USENIX} Workshop on Hot Topics in Storage and File Systems (HotStorage 17)},
year = {2017},
address = {Santa Clara, CA},
url = {https://www.usenix.org/conference/hotstorage17/program/presentation/fekry},
publisher = {{USENIX} Association},
month = jul,
}