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Grisha Weintraub
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2020 – today
- 2024
- [j2]Grisha Weintraub
, Ehud Gudes
Optimizing Cloud Data Lake Queries With a Balanced Coverage Plan. IEEE Trans. Cloud Comput. 12(1): 84-99 (2024) - 2023
- [j1]Noam Hadar
GeniePool: genomic database with corresponding annotated samples based on a cloud data lake architecture. Database J. Biol. Databases Curation 2023 (2023) - [c8]Grisha Weintraub
Analyzing large-scale genomic data with cloud data lakes. SYSTOR 2023: 142 - [c7]Grisha Weintraub:
Optimizing Cloud Data Lakes Queries. PhD@VLDB 2023: 13-16 - 2022
- [c6]Shlomi Dolev, Ehud Gudes, Erez Segev, Jeffrey D. Ullman, Grisha Weintraub
BFLUT Bloom Filter for Private Look Up Tables. CSCML 2022: 499-505 - [c5]Grisha Weintraub
Integrity verification in cloud key-value stores. SYSTOR 2022: 140 - 2021
- [c4]Grisha Weintraub, Ehud Gudes, Shlomi Dolev:
Needle in a haystack queries in cloud data lakes. EDBT/ICDT Workshops 2021 - [c3]Grisha Weintraub
Indexing cloud data lakes within the lakes. SYSTOR 2021: 22:1
2010 – 2019
- 2019
- [i1]Abigail Goldsteen, Tomer Douek, Yaniv Cohen, Igor Gokhman, Ofir Keren-Ackerman, Gadi Katsovich, Grisha Weintraub, Doron Ben-Ari:
Forgotten @ Scale: A Practical Solution for Implementing the Right To Be Forgotten in Large-Scale Systems. CoRR abs/1910.13784 (2019) - 2018
- [c2]Grisha Weintraub
Data Integrity Verification in Column-Oriented NoSQL Databases. DBSec 2018: 165-181 - 2017
- [c1]Grisha Weintraub
Crowdsourced Data Integrity Verification for Key-Value Stores in the Cloud. CCGrid 2017: 498-503
Coauthor Index
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