Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Alin Deutsch"'
Autor:
Arun Kumar, Alin Deutsch, Amarnath Gupta, Yannis Papakonstantinou, Babak Salimi, Victor Vianu
Publikováno v:
ACM SIGMOD Record. 51:43-46
We are in the golden age of data-intensive computing. CS is now the largest major in most US universities. Data Science, ML/AI, and cloud computing have been growing rapidly. Many new data-centric job categories are taking shape in industry, e.g., da
Autor:
Alin Deutsch, Nadime Francis, Alastair Green, Keith Hare, Bei Li, Leonid Libkin, Tobias Lindaaker, Victor Marsault, Wim Martens, Jan Michels, Filip Murlak, Stefan Plantikow, Petra Selmer, Oskar van Rest, Hannes Voigt, Domagoj Vrgoč, Mingxi Wu, Fred Zemke
Publikováno v:
SIGMOD '22: International Conference on Management of Data
SIGMOD '22: International Conference on Management of Data, Jun 2022, Philadelphia, United States. ⟨10.1145/3514221.3526057⟩
Deutsch, A, Francis, N, Green, A, Hare, K, Li, B, Libkin, L, Lindaaker, T, Marsault, V, Martens, W, Michels, J, Murlak, F, Plantikow, S, Selmer, P, Voigt, H, van Rest, O, Vrgoc, D, Wu, M & Zemke, F 2022, Graph Pattern Matching in GQL and SQL/PGQ . in Z Ives, A Bonifati, A El Abbadi, J Paparrizos & R Taft (eds), Proceedings of the 2022 International Conference on Management of Data . New York, NY, USA, pp. 2246-2258, ACM SIGMOD/PODS International Conference on Management of Data 2022, Philadelphia, Pennsylvania, United States, 12/06/22 . https://doi.org/10.1145/3514221.3526057
SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data
SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data, Jun 2022, Philadelphia, United States. ⟨10.1145/3514221.3526057⟩
SIGMOD '22: International Conference on Management of Data, Jun 2022, Philadelphia, United States. ⟨10.1145/3514221.3526057⟩
Deutsch, A, Francis, N, Green, A, Hare, K, Li, B, Libkin, L, Lindaaker, T, Marsault, V, Martens, W, Michels, J, Murlak, F, Plantikow, S, Selmer, P, Voigt, H, van Rest, O, Vrgoc, D, Wu, M & Zemke, F 2022, Graph Pattern Matching in GQL and SQL/PGQ . in Z Ives, A Bonifati, A El Abbadi, J Paparrizos & R Taft (eds), Proceedings of the 2022 International Conference on Management of Data . New York, NY, USA, pp. 2246-2258, ACM SIGMOD/PODS International Conference on Management of Data 2022, Philadelphia, Pennsylvania, United States, 12/06/22 . https://doi.org/10.1145/3514221.3526057
SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data
SIGMOD '22: Proceedings of the 2022 International Conference on Management of Data, Jun 2022, Philadelphia, United States. ⟨10.1145/3514221.3526057⟩
International audience; As graph databases become widespread, JTC1 -- the committee in joint charge of information technology standards for the International Organization for Standardization (ISO), and International Electrotechnical Commission (IEC)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3de0c84733b41c3855a1e8bbb0dcca3
https://hal.science/hal-03688214
https://hal.science/hal-03688214
Publikováno v:
SIGMOD Conference
ACM SIGMOD 2021-International Conference on Management of Data
ACM SIGMOD 2021-International Conference on Management of Data, Jun 2021, Xi'an / Online, China
ACM SIGMOD 2021-International Conference on Management of Data
ACM SIGMOD 2021-International Conference on Management of Data, Jun 2021, Xi'an / Online, China
International audience; Hybrid complex analytics workloads typically include (i) data management tasks (joins, filters, etc.), easily expressed using relational algebra (RA)-based languages, and (ii) complex analytics tasks (regressions, matrix decom
Autor:
Ainur Smagulova, Alin Deutsch
Publikováno v:
SIGMOD Conference
We present a scheme for parallel execution of SQL queries on top of any vertex-centric BSP graph processing engine. The scheme comprises a graph encoding of relational instances and a vertex program specification of our algorithm called TAG-join, whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38d73d30d4aef194957145f37890d1bb
http://arxiv.org/abs/2103.14120
http://arxiv.org/abs/2103.14120
Publikováno v:
Proceedings of the VLDB Endowment (PVLDB)
Proceedings of the VLDB Endowment (PVLDB), 2020, 13 (12), pp.2949-2952. ⟨10.14778/3415478.3415516⟩
Proceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2020, 13 (12), pp.2949-2952. ⟨10.14778/3415478.3415516⟩
Proceedings of the VLDB Endowment (PVLDB), 2020, 13 (12), pp.2949-2952. ⟨10.14778/3415478.3415516⟩
Proceedings of the VLDB Endowment (PVLDB), VLDB Endowment, 2020, 13 (12), pp.2949-2952. ⟨10.14778/3415478.3415516⟩
Big data applications increasingly involve diverse datasets, conforming to different data models. Such datasets are routinely hosted in heterogeneous stores, each capable of handling one or a few data models, and each efficient for some, but not all,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02eb126db300e23ccff003c59bb3746d
https://inria.hal.science/hal-03150404/document
https://inria.hal.science/hal-03150404/document
Publikováno v:
SIGMOD Conference
We describe how GSQL, TigerGraph's graph query language, supports the specification of aggregation in graph analytics. GSQL makes several unique design decisions with respect to both the expressive power and the evaluation complexity of the specified
Autor:
Alin Deutsch, Yannis Papakonstantinou
Publikováno v:
Proceedings of the VLDB Endowment. 11:2106-2109
Numerous databases support semi-structured, schemaless and heterogeneous data, typically in the form of graphs (often restricted to trees and nested data). They also provide corresponding high-level query languages or graph-tailored programming parad
Publikováno v:
ACM SIGLOG News. 5:37-56
We present an overview of results on verification of temporal properties of infinite-state transition systems arising from processes that carry and manipulate unbounded data. The techniques bring into play tools from logic, database theory, and model
Publikováno v:
Proceedings of the VLDB Endowment. 11:283-296
Data-driven workflows, of which IBM's Business Artifacts are a prime exponent, have been successfully deployed in practice, adopted in industrial standards, and have spawned a rich body of research in academia, focused primarily on static analysis. T
Publikováno v:
SIGMOD 2019-ACM SIGMOD International Conference on Management of Data
SIGMOD 2019-ACM SIGMOD International Conference on Management of Data, Jun 2019, Amsterdam, Netherlands
SIGMOD Conference
SIGMOD 2019-ACM SIGMOD International Conference on Management of Data, Jun 2019, Amsterdam, Netherlands
SIGMOD Conference
International audience; Big data applications routinely involve diverse datasets: relations at or nested, complex-structure graphs, documents, poorly struc-tured logs, or even text data. To handle the data, application designers usually rely on sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::868b57b1af64fb266e2a62f063739779
https://inria.hal.science/hal-02070827
https://inria.hal.science/hal-02070827