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Integrity Verification in Cloud Data Lakes

Published: 16 September 2024 Publication History

Abstract

Cloud data lakes support storage and querying at scale. However, traditional data integrity methods do not apply to them due to a different system model. We propose a novel completeness verification protocol based on a data lake partitioning scheme.

References

[1]
Feifei Li, Marios Hadjieleftheriou, George Kollios, and Leonid Reyzin. 2006. Dynamic authenticated index structures for outsourced databases. In Proceedings of the ACM SIGMOD. 121--132.
[2]
Grisha Weintraub, Leonid Rise, Eli Shemesh, and Avraham Illouz. (submitted) 2024. Integrity verification in cloud data lakes. US Patent App. 18/670,776.

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Published In

cover image ACM Conferences
SYSTOR '24: Proceedings of the 17th ACM International Systems and Storage Conference
September 2024
212 pages
ISBN:9798400711817
DOI:10.1145/3688351
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • Technion: Israel Institute of Technology

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 September 2024

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Author Tags

  1. cloud storage
  2. data integrity
  3. data lakes

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  • Research
  • Refereed limited

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SYSTOR '24
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SYSTOR '24 Paper Acceptance Rate 14 of 38 submissions, 37%;
Overall Acceptance Rate 108 of 323 submissions, 33%

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