Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Peter Boncz"'
Autor:
Tim Gubner, Peter Boncz
Publikováno v:
Proceedings of the VLDB Endowment. 16:829-841
In recent years, hardware has become increasingly diverse, in terms of features as well as performance. This poses a problem for complex software in general and database systems in particular. To achieve top-notch performance, we need to exploit hard
Autor:
Alon Halevy, Surajit Chaudhuri, Juliana Freire, Dan Suciu, Volker Markl, Michael J. Franklin, Joseph M. Hellerstein, Sergey Melnik, Fatma Ozcan, Chandrasekaran Mohan, David G. Andersen, AnHai Doan, Raghu Ramakrishnan, Stratos Idreos, Tim Kraska, Tova Milo, Anastasia Ailamaki, Magdalena Balazinska, Thomas Neumann, Michael Stonebraker, Beng Chin Ooi, Raluca Ada Popa, Andrew Pavlo, Donald Kossmann, Alvin Cheung, Jignesh M. Patel, Christopher Ré, Peter Bailis, Luna Dong, Peter Boncz, Daniel J. Abadi, Philip A. Bernstein, Sailesh Krishnamurthy
Publikováno v:
Communications of the ACM. 65:72-79
Approximately every five years, a group of database researchers meet to do a self-assessment of our community, including reflections on our impact on the industry as well as challenges facing our research community. This report summarizes the discuss
Autor:
Gábor Szárnyas, Jack Waudby, Benjamin A. Steer, Dávid Szakállas, Altan Birler, Mingxi Wu, Yuchen Zhang, Peter Boncz
The Social Network Benchmark's Business Intelligence workload (SNB BI) is a comprehensive graph OLAP benchmark targeting analytical data systems capable of supporting graph workloads. This paper marks the finalization of almost a decade of research i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f04dbb038a1ee50f846bc4502abe9d6
https://doi.org/10.14778/3574245.3574270
https://doi.org/10.14778/3574245.3574270
Publikováno v:
ACM SIGMOD Record. 50:60-67
Modern query engines rely heavily on hash tables for query processing. Overall query performance and memory footprint is often determined by how hash tables and the tuples within them are represented. In this work, we propose three complementary tech
Autor:
Dean De Leo, Peter Boncz
Publikováno v:
Proceedings of the VLDB Endowment. 14:1053-1066
We present Teseo, a new system for the storage and analysis of dynamic structural graphs in main-memory and the addition of transactional support. Teseo introduces a novel design based on sparse arrays, large arrays interleaved with gaps, and a fat t
Publikováno v:
Proceedings of the VLDB Endowment. 13:3559-3572
In modern data warehousing, data skipping is essential for high query performance. While index structures such as B-trees or hash tables allow for precise pruning, their large storage requirements make them impractical for indexing secondary columns.
Autor:
Burak Yavuz, Adrian Ionescu, Matei Zaharia, Pieter Senster, Takuya Ueshin, Shixiong Zhu, Mukul Murthy, Tathagata Das, Herman van Hovell, Reynold Xin, Ali Ghodsi, Liwen Sun, Mostafa Mokhtar, Sameer Paranjpye, Alicja Łuszczak, Peter Boncz, Michał Szafrański, Xiao Li, Michael Armbrust, Michał Świtakowski, Joseph Torres
Publikováno v:
Proceedings of the VLDB Endowment. 13:3411-3424
Cloud object stores such as Amazon S3 are some of the largest and most cost-effective storage systems on the planet, making them an attractive target to store large data warehouses and data lakes. Unfortunately, their implementation as key-value stor
Autor:
Peter Boncz, Tim Gubner
Database architecture, while having been studied for four decades now, has delivered only a few designs with well-understood properties. These few are followed by most actual systems. Acquiring more knowledge about the design space is a very time-con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3ffd32aa6608d1aa16301e0effdc780
https://ir.cwi.nl/pub/30645
https://ir.cwi.nl/pub/30645
Publikováno v:
WWW (Companion Volume)
Kruit, B, Boncz, P & Urbani, J 2021, TAKCO : A Platform for Extracting Novel Facts from Tables . in WWW 2021 : Companion Proceedings of the Web Conference 2021 . Association for Computing Machinery, Inc, pp. 705-707, 30th World Wide Web Conference, WWW 2021, Ljubljana, Slovenia, 19/04/21 . https://doi.org/10.1145/3442442.3458611
WWW 2021: Companion Proceedings of the Web Conference 2021, 705-707
STARTPAGE=705;ENDPAGE=707;TITLE=WWW 2021
Kruit, B, Boncz, P & Urbani, J 2021, TAKCO : A Platform for Extracting Novel Facts from Tables . in WWW 2021 : Companion Proceedings of the Web Conference 2021 . Association for Computing Machinery, Inc, pp. 705-707, 30th World Wide Web Conference, WWW 2021, Ljubljana, Slovenia, 19/04/21 . https://doi.org/10.1145/3442442.3458611
WWW 2021: Companion Proceedings of the Web Conference 2021, 705-707
STARTPAGE=705;ENDPAGE=707;TITLE=WWW 2021
Web tables contain a large amount of useful knowledge. Takco is a new large-scale platform designed for extracting facts from tables that can be added to Knowledge Graphs (KGs) like Wikidata. Focusing on achieving high precision, current techniques a