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Technical Perspective: #8712;KTELO

Published: 05 November 2019 Publication History

Abstract

When was the last time that you wrote code to implement a join algorithm? Chances are, it was during an undergraduate database class - if at all. The wide availability of database management systems in all their manifestations (admitting a wide definition, to encompass performing look-ups in a spreadsheet) mean that we do not have to (re)implement common operations over and over again. This brings many advantages. We benefit from time savings, both in development time, and also in execution time: we can expect that optimized professional code will outperform our ad-hoc efforts. Moreover, we expect such code to be robust, and less prone to crashing on unexpected inputs. It should produce results that can be relied on to be correct, and handle errors gracefully.

References

[1]
Hamid Ebadi and David Sands. Featherweight PINQ. Journal of Privacy and Confidentiality, 7(2):159--184, 2017.
[2]
Frank McSherry. Privacy integrated queries: an extensible platform for privacy-preserving data analysis. In SIGMOD Conference, 2009.

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Published In

cover image ACM SIGMOD Record
ACM SIGMOD Record  Volume 48, Issue 1
March 2019
81 pages
ISSN:0163-5808
DOI:10.1145/3371316
Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2019
Published in SIGMOD Volume 48, Issue 1

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