Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Divy Agrawal"'
Autor:
Thanh Do, Ahmed M. Aly, Somayeh Sardashti, Yiqun Wei, Yang Xia, Zhepeng Yan, Jiacheng Yang, John Cieslewicz, Jun Xu, Shiv Venkataraman, Andrew Harn, Craig Chasseur, Jeff Shute, Felix Weigel, Chanjun Yang, Orri Erling, Andrey Gubichev, Ben Handy, Anurag Biyani, Amr El-Helw, Himani Apte, Daniel Tenedorio, Jason Govig, Petros Venetis, Goetz Graefe, Divy Agrawal, Jiexing Li, Ian Rae, Zhan Yuan, Ashish Gupta, Qiang Zeng, Colin Zheng, David G. Wilhite, Mohan Yang, Keith Peters, Bart Samwel
Publikováno v:
Proceedings of the VLDB Endowment. 11:1835-1848
F1 Query is a stand-alone, federated query processing platform that executes SQL queries against data stored in different file-based formats as well as different storage systems at Google (e.g., Bigtable, Spanner, Google Spreadsheets, etc.). F1 Query
Autor:
Ji Lucas, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Sanjay Chawla, Saravanan Thirumuruganathan, Divy Agrawal, Ahmed K. Elmagarmid, Essam Mansour, Bertty Contreras-Rojas, Nan Tang, Paolo Papotti, Anis Troudi, Sebastian Kruse, Yasser Idris, Zoi Kaoudi
Publikováno v:
Proceedings of the VLDB Endowment. 11:1414-1427
Solving business problems increasingly requires going beyond the limits of a single data processing platform (platform for short), such as Hadoop or a DBMS. As a result, organizations typically perform tedious and costly tasks to juggle their code an
Autor:
Venkatesh Basker, Haifeng Jiang, Alexander Smolyanov, Divy Agrawal, Scott Holzer, Shan He, Monica Chawathe Lenart, Navin Reginald Melville, Vinny Ganeshan, Manpreet Singh, Manish Bhatia, Tianhao Qiu, Namit Sikka, Shivakumar Venkataraman, Yuri Vasilevski, Ashish Gupta
Publikováno v:
Real-Time Business Intelligence and Analytics ISBN: 9783030241230
BIRTE (Revised Selected Papers)
BIRTE (Revised Selected Papers)
Most of today’s Internet applications generate vast amounts of data (typically, in the form of event logs) that needs to be processed and analyzed for detailed reporting, enhancing user experience and increasing monetization. In this paper, we desc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6b9d22140bbd43c62d91271f8a0e887
https://doi.org/10.1007/978-3-030-24124-7_10
https://doi.org/10.1007/978-3-030-24124-7_10
Autor:
Nan Tang, Zuhair Khayyat, Sanjay Chawla, Divy Agrawal, Sebastian Kruse, Mourad Ouzzani, Hossam M. Hammady, Lamine Ba, Mohammed J. Zaki, Jorge-Arnulfo Quiané-Ruiz, Zoi Kaoudi, Ahmed K. Elmagarmid, Laure Berti-Equille, Paolo Papotti, Yasser Idris
Publikováno v:
SIGMOD '16 Proceedings of the 2016 International Conference on Management of Data
SIGMOD 2016-International Conference on Management of Data
SIGMOD 2016-International Conference on Management of Data, Jun 2016, San Francisco, United States. pp.2069-2072, ⟨10.1145/2882903.2899414⟩
SIGMOD Conference
SIGMOD 2016-International Conference on Management of Data
SIGMOD 2016-International Conference on Management of Data, Jun 2016, San Francisco, United States. pp.2069-2072, ⟨10.1145/2882903.2899414⟩
SIGMOD Conference
International audience; Many emerging applications, from domains such as healthcare and oil & gas, require several data processing systems for complex analytics. This demo paper showcases system, a framework that provides multi-platform task executio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50c389238be4639823eda2eb8df2ef0e
https://hal.inria.fr/hal-01829075
https://hal.inria.fr/hal-01829075
Autor:
Mohammed J. Zaki, Sanjay Chawla, Divy Agrawal, Nan Tang, Paolo Papotti, Jorge Quiane, Ahmed K. Elmagarmid, Zoi Kaoudi, Mourad Ouzzani
Publikováno v:
Qatar Foundation Annual Research Conference Proceedings Volume 2016 Issue 1.
Data analytics is at the core of any organization that wants to obtain measurable value from its growing data assets. Data analytic tasks may range from simple to extremely complex pipelines, such as data extraction, transformation and loading, onlin
Autor:
Divy Agrawal, Christopher Ré, Magdalena Balazinska, Tim Kraska, Raghu Ramakrishnan, Michael Cafarella, Michael I. Jordan
Publikováno v:
SIGMOD Conference
Machine learning seems to be eating the world with a new breed of high-value data-driven applications in image analysis, search, voice recognition, mobile, and office productivity products. To paraphrase Mike Stonebraker, machine learning is no longe
Publikováno v:
ACM SIGOPS Operating Systems Review. 46:1-3
Autor:
Nan Tang, Hossam M. Hammady, Prasenjit Mitra, Mohamed Zaki, Laure Berti, Paolo Papotti, Si Yin, Mourad Ouzzani, Jorge Quiane Ruiz, Yin Ye, Divy Agrawal
Publikováno v:
Qatar Foundation Annual Research Conference Proceedings Volume 2014 Issue 1.
"The Data Analytics group at QCRI has embarked on an ambitious endeavor to become a premiere world-class research group in Data Science by tackling diverse research topics related to information extraction, data quality, data profiling, data integrat
Autor:
Divy Agrawal
Publikováno v:
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data.
Autor:
Divy Agrawal, Anastasia Ailamaki
Publikováno v:
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data.