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Jyoti Leeka
Jyoti Leeka
Senior Research Scientist, SQL Server, Microsoft
Подтвержден адрес электронной почты в домене microsoft.com - Главная страница
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Процитировано
Процитировано
Год
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
CIDR, 2020
39*2020
Incorporating Super-Operators in Big-Data Query Optimizers
J Leeka, K Rajan
PVLDB, 2019
242019
A formal graph model for RDF and its implementation
V Nguyen, J Leeka, O Bodenreider, A Sheth
arXiv preprint arXiv:1606.00480, 2016
172016
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics
M Sivathanu, M Vuppalapati, BS Gulavani, K Rajan, J Leeka, J Mohan, ...
ACM Transactions on Storage (TOS) 15 (4), 1-30, 2020
122020
RQ-RDF-3X: going beyond triplestores
J Leeka, S Bedathur
2014 IEEE 30th International Conference on Data Engineering Workshops, 263-268, 2014
112014
Quark-X An Efficient Top-K Processing Framework for RDF Quad Stores
J Leeka, S Bedathur, D Bera, M Atre
Proceedings of the 25th ACM International on Conference on Information and …, 2016
82016
Triou, Dexin Zhu, Lucky Katahanas, Chakrapani Bhat Talapady, et al. 2021. The cosmos big data platform at Microsoft: over a decade of progress and a decade to look forward
C Power, H Patel, A Jindal, J Leeka, B Jenkins, M Rys
Proceedings of the VLDB Endowment 14 (12), 3148-3161, 2021
72021
Towards Building Autonomous Data Services on Azure
Y Zhu, Y Tian, J Cahoon, S Krishnan, A Agarwal, R Alotaibi, ...
Companion of the 2023 International Conference on Management of Data, 217-224, 2023
62023
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward
C Power, H Patel, A Jindal, J Leeka, B Jenkins, M Rys, E Triou, D Zhu, ...
VLDB, 2021
62021
Production Experiences from Computation Reuse at Microsoft
A Jindal, S Qiao, H Patel, A Roy, J Leeka, B Haynes.
EDBT, 2021
62021
Proactive Resource Allocation Policy for Microsoft Azure Cognitive Search
O Poppe, P Castro, W Lang, J Leeka
ACM SIGMOD Record 52 (3), 41-48, 2023
52023
Pipemizer: An Optimizer for Analytics Data Pipelines
S Gakhar, J Cahoon, W Le, X Li, K Ravichandran, H Patel, M Friedman, ...
PVLDB, 2022
52022
Wangchao Le, Xiangnan Li, Kaushik Ravichandran, Hiren Patel, Marc Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal, and Jyoti Leeka.“Pipemizer: An Optimizer for Analytics Data …
S Gakhar, J Cahoon
Proceedings of the VLDB Endowment (PVLDB), 2022
42022
Query Optimizer as a Service: An Idea Whose Time Has Come
A Jindal, J Leeka
SIGMOD Record, 2022
42022
Triou, Dexin Zhu, Lucky Katahanas, Chakrapani Bhat Talapady, Joshua Rowe, Fan Zhang, Rich Draves, Marc Friedman, Ivan Santa Maria Filho, and Amrish Kumar. 2021. The Cosmos Big …
C Power, H Patel, A Jindal, J Leeka, B Jenkins, M Rys
Proc. VLDB Endow 14 (12), 3148-3161, 2021
42021
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. arXiv e-prints, page
A Agrawal, R Chatterjee, C Curino, A Floratou, N Gowdal, M Interlandi, ...
arXiv preprint arXiv:1909.00084, 2019
42019
Unshackling Database Benchmarking from Synthetic Workloads
P Negi, L Bindschaedler, M Alizadeh, T Kraska, J Leeka, A Gruenheid, ...
2023 IEEE 39th International Conference on Data Engineering (ICDE), 3659-3662, 2023
32023
STREAK: An efficient engine for processing top-k SPARQL queries with spatial filters
J Leeka, S Bedathur, D Bera, S Lakshminarasimhan
arXiv preprint arXiv:1710.07411, 2017
22017
Sibyl: Forecasting Time-Evolving Query Workloads
H Huang, T Siddiqui, R Alotaibi, C Curino, J Leeka, A Jindal, J Zhao, ...
Proceedings of the ACM on Management of Data 2 (1), 1-27, 2024
12024
GEqO: ML-Accelerated Semantic Equivalence Detection
B Haynes, R Alotaibi, A Pavlenko, J Leeka, A Jindal, Y Tian
Proceedings of the ACM on Management of Data 1 (4), 1-25, 2023
12023
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