Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jana Giceva"'
Publikováno v:
Proceedings of the VLDB Endowment. 16:1222-1234
Current hardware development greatly influences the design decisions of modern database systems. For many modern performance-focused database systems, query compilation emerged as an integral part and different approaches for code generation evolved,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca7706251febbb49d5833bb25fc1af9b
https://doi.org/10.14778/3583140.3583142
https://doi.org/10.14778/3583140.3583142
Publikováno v:
Proceedings of the VLDB Endowment. 15:2966-2979
Moving data analysis and processing to the cloud is no longer reserved for a few companies with petabytes of data. Instead, the flexibility of on-demand resources is attracting an increasing number of customers with small to medium-sized workloads. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e3c11da1ac0919db64b2faca378be67
https://doi.org/10.14778/3551793.3551845
https://doi.org/10.14778/3551793.3551845
Autor:
Lukas Vogel, Alexander van Renen, Satoshi Imamura, Jana Giceva, Thomas Neumann, Alfons Kemper
Publikováno v:
Proceedings of the VLDB Endowment. 15:2895-2907
Persistent memory (PMem) promised DRAM-like performance, byte addressability, and the persistency guarantees of conventional block storage. With the release of Intel Optane DCPMM, those expectations were dampened. While its write latency competes wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1997c743f566b7f708687ed006b922b5
https://doi.org/10.14778/3551793.3551839
https://doi.org/10.14778/3551793.3551839
Publikováno v:
Proceedings of the VLDB Endowment. 15:2389-2401
Since its invention, data-centric code generation has been adopted for query compilation by various database systems in academia and industry. These database systems are fast but maximize performance at the expense of developer friendliness, flexibil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e30364245b0a3c9549e73868910a398
https://doi.org/10.14778/3551793.3551801
https://doi.org/10.14778/3551793.3551801
Publikováno v:
Proceedings of the VLDB Endowment. 15:1173-1186
Despite the wide adoption of graph processing across many different application domains, there is no underlying data structure that can serve a variety of graph workloads (analytics, traversals, and pattern matching) on dynamic graphs with transactio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::461c95b2f2ad76639aa68b2fb64a0a42
https://doi.org/10.14778/3514061.3514065
https://doi.org/10.14778/3514061.3514065
Publikováno v:
ACM SIGMOD Record. 50:23-26
Database education is at an inflection point. With the surge of interest in all things "data", enrollments in traditional database courses are at an all time high. At the same time, the rise of Data Science as a discipline has led to the creation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b97bae8359532c55f98da9efdd73193f
https://doi.org/10.1145/3503780.3503786
https://doi.org/10.1145/3503780.3503786
Autor:
Jana Giceva, Maximilian Bandle
Publikováno v:
Proceedings of the VLDB Endowment. 14:2483-2490
A wealth of technology has evolved around relational databases over decades that has been successfully tried and tested in many settings and use cases. Yet, the majority of it remains overlooked in the pursuit of performance (e.g., NoSQL) or new func
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0e20d20efca6d2ad2358e65cda65ccc
https://doi.org/10.14778/3476249.3476296
https://doi.org/10.14778/3476249.3476296
Publikováno v:
Proceedings of the VLDB Endowment. 14:2355-2368
With today's data deluge, approximate filters are particularly attractive to avoid expensive operations like remote data/disk accesses. Among the many filter variants available, it is non-trivial to find the most suitable one and its optimal configur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f70a713268f62c01baa3bdb9c11f11e
https://doi.org/10.14778/3476249.3476286
https://doi.org/10.14778/3476249.3476286
Autor:
Jana Giceva, Mohammad Sadoghi
Publikováno v:
Encyclopedia of Big Data Technologies ISBN: 9783319639628
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92460f02c1a346848abcb401c27d93d8
https://doi.org/10.1007/978-3-319-63962-8_179-2
https://doi.org/10.1007/978-3-319-63962-8_179-2
Publikováno v:
SIGMOD Conference
SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data
Proceedings of the 2021 International Conference on Management of Data
SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data
Proceedings of the 2021 International Conference on Management of Data
An efficient implementation of a hash join has been a highly researched problem for decades. Recently, the radix join has been shown to have superior performance over the alternatives (e.g., the non-partitioned hash join), albeit on synthetic microbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f92fb08c3dbb5c8234573d83c0d09d88
https://doi.org/10.1145/3448016.3452831
https://doi.org/10.1145/3448016.3452831