Inria seminar, Salle Jacques-Louis Lions, Centre Inria Paris, 23 november 2023, 10h Big Data Technologies: spotlight on NoSQL, NewSQL and Spark Patrick Valduriez The ability to produce high-value information and knowledge from big data makes it critical for many applications such as decision support, forecasting, business intelligence, research, and (data-intensive) science. However, processing and analyzing …
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Zenith HPDaSc seminar, Monday 7 November 2022, 10h15-11h45 BAT5-01.124, Campus Saint Priest Dbfication or Dbfiction in Deep Learning Activities Marta Mattoso COPPE/UFRJ, Rio de Janeiro, Brazil Database management techniques have a lot to contribute to generating and selecting a deep learning model. In this talk, we present current initiatives of the database community towards using data …
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Journée Zenith, Golfe de Coulondres, 25 May 2022 BugDoc: Algorithms to Debug Computational Processes Dennis Shasha, New York University, USA (joint work with Raoni Lourenco and Juliana Freire) Data analysis for scientific experiments and enterprises, large-scale simulations, and machine learning tasks all entail the use of complex computational pipelines to reach quantitative and qualitative conclusions. …
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Journée Zenith, Golfe de Coulondres, 25 May 2022 ML Model Management in Gypscie Fabio Porto, LNCC, Petropolis, Brazil To realize the full potential of data science, ML models (or models for short) must be built, combined and ensembled, which can be very complex as there can be many models to select from. Furthermore, they should …
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The 12th edition of the Marcus Evans “Innovation Strategies” conference will be held virtually from May 19 to 20, 2021. https://drive.google.com/file/d/1HQ8AHzcPbK3eqap8hqGT43TGcHHYZSEt/preview Check out my presentation on May 20, 14h40 Innovation : startup strategies Patrick Valduriez Inria and LIRMM, Univ. Montpellier, France Technological innovation as driven by startups is hard to formalize (and manage) as the …
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Esther Pacitti gave an invited lecture at Seminários 2021, Instituto de Computação – UFF, Rio de Janeiro, on “Uma Perspectiva Evolutiva e Multidisciplinar do Tratamento de Dados”. This work is in the context of the HPDaSc Inria associated team. Watch the video on YouTube.
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Patrick Valduriez at (Online) University of Paris Seminar Series on Data Analytics, on 25 February 2021.
Patrick Valduriez at (Online) University of Paris Seminar Series on Data Analytics, in collaboration with the diNo group, on 25 February 2021, 15h. http://helios.mi.parisdescartes.fr/~themisp/seminars/2021-02-25-Valduriez.html Distributed Database Systems: the case for NewSQL NewSQL [Valduriez & Jimenez-Peris 2019] is the latest technology in the big data management landscape, enjoying a fast-growing rate in the DBMS and BI markets. …
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Patrick Valduriez on “Distributed Database Systems: the case for NewSQL” on 19 Nov. 2020 at (Online) CWI lectures on Database Research. NewSQL [Valduriez & Jimenez-Peris 2019] is the latest technology in the big data management landscape, enjoying a fast-growing rate in the DBMS and BI markets. NewSQL combines the scalability and availability of NoSQL with the …
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SBBD 2020 tutorial by Patrick Valduriez “Principles of Distributed Database Systems: spotlight on NewSQL” 29 September 2020.
Tutorial at SBBD 2020 https://sbbd.org.br/2020/tutorial-3/ 29 September 2020, 14h-16h30 Principles of Distributed Database Systems: spotlight on NewSQL Patrick Valduriez Inria, University of Montpellier, CNRS, LIRMM, France LeanXcale, Spain The first edition of the book Principles of Distributed Database Systems, co-authored with Prof. Tamer Özsu (University of Waterloo) appeared in 1991 when the technology was new …
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Seminar by Khadidja Meguelati “Clustering Massivement Distribué via Mélange de Processus de Dirichlet” 9 March 2020
Séminaire Zenith : 9 mars 2020, 14h Campus St Priest, BAT5, 03.124 Clustering Massivement Distribué via Mélange de Processus de Dirichlet Khadidja Meguelati Zenith, Inria & LIRMM La classification non supervisée (ou clustering) a pour objectif d’identifier des classes pertinentes dans les données. elle est largement utilisée dans de nombreuses applications telles que le marketing, la …
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