Integrity Verification in Cloud Data Lakes

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.

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Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1145/3688351.3689166
Citations
1
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.35
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article

Integrity Verification in Cloud Data Lakes

Leonid Rise, Grisha Weintraub, Eli Shemesh, Avraham Illouz
1 citations
Privacy-Preserving Technologies in Data
0.35
article

Integrity Verification in Cloud Data Lakes

Leonid Rise, Grisha Weintraub, Eli Shemesh, Avraham Illouz
article en
1 citations

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.

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Openalex Percentile: Top 33%
Privacy-Preserving Technologies in Data
0.35
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Integrity Verification in Cloud Data Lakes — Leonid Rise, Grisha Weintraub, et al. · (2024) | TGRS Research Map | TGRS