Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shasank Chavan"'
Autor:
Ramesh Kumar, Allison L. Holloway, Shasank Chavan, Dennis Lui, Sunil P. Chakkappen, Maria Colgan, Vineet Marwah, Tirthankar Lahiri, Aurosish Mishra, Zhen Hua Liu, Subramanian Vinita, Niloy Mukherjee, Jesse Kamp
Publikováno v:
Proceedings of the VLDB Endowment. 9:1437-1448
Oracle Database In-Memory (DBIM) accelerates analytic workload performance by orders of magnitude through an in-memory columnar format utilizing techniques such as SIMD vector processing, in-memory storage indexes, and optimized predicate evaluation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a18c0960ab5320c6ec0bf3e99077858
https://doi.org/10.14778/3007263.3007280
https://doi.org/10.14778/3007263.3007280
Publikováno v:
ICDE
OLAP and real-time analytic workloads in data management systems are dominated by joins, aggregations, scan and filtering costs. In-Memory columnar databases have successfully optimized scans by many orders of magnitude using compressed data formats
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f851e19f9929ec2ec2bcf48b14a59c1c
https://doi.org/10.1109/icde.2018.00163
https://doi.org/10.1109/icde.2018.00163
Autor:
Neil Macnaughton, Atrayee Mullick, Michael J. Gleeson, Jesse Kamp, Allison L. Holloway, Dinesh Das, Sanket Hase, Vineet Marwah, Mohamed Zait, Shasank Chavan, Hui Jin, Kartik Kulkarni, Juan R. Loaiza, Tirthankar Lahiri, Maria Colgan, Niloy Mukherjee, Jiaqi Yan, Andy Witkowski
Publikováno v:
Proceedings of the VLDB Endowment. 8:1630-1641
Over the last few years, the information technology industry has witnessed revolutions in multiple dimensions. Increasing ubiquitous sources of data have posed two connected challenges to data management solutions -- processing unprecedented volumes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::663cc213e4232763f9fb01f29bafd657
https://doi.org/10.14778/2824032.2824061
https://doi.org/10.14778/2824032.2824061
Autor:
Atrayee Mullick, Xiaoming He, Sujatha Muthulingam, Kartik Kulkarni, Juan R. Loaiza, Tirthankar Lahiri, Niloy Mukherjee, Michael J. Gleeson, Raunak Rungta, Vivekanandhan Raja, Jesse Kamp, Maria Colgan, Allison L. Holloway, Neil Macnaughton, Shasank Chavan
Publikováno v:
ICDE
Modern data management systems are required to address new breeds of OLTAP applications. These applications demand real time analytical insights over massive data volumes not only on dedicated data warehouses but also on live mainstream production en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fffac9e7f3348713155f0f32f222b15
https://doi.org/10.1109/icde.2016.7498333
https://doi.org/10.1109/icde.2016.7498333
Autor:
Marty Roth, Ekrem Soylemez, Amit Ganesh, Jesse Kamp, Tirthankar Lahiri, Maria Colgan, Juan R. Loaiza, Allison L. Holloway, Atrayee Mullick, Sujatha Muthulingam, Vineet Marwah, Sanket Hase, Vivekanandhan Raja, Neil Macnaughton, Teck-Hua Lee, Shasank Chavan, Michael J. Gleeson, Dinesh Das, Niloy Mukherjee, Mohamed Zait
Publikováno v:
ICDE
The Oracle Database In-Memory Option allows Oracle to function as the industry-first dual-format in-memory database. Row formats are ideal for OLTP workloads which typically use indexes to limit their data access to a small set of rows, while column
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119d437dd5f5acb040ff2aad37aab5c1
https://doi.org/10.1109/icde.2015.7113373
https://doi.org/10.1109/icde.2015.7113373