S'authentifier

XLDB 2017

10–12 oct. 2017
Casino de Royat
Fuseau horaire Europe/Paris

Session

Lightning Talks

8
10 oct. 2017, 16:50
Casino de Royat

Casino de Royat

Allée du Pariou, 63130 Royat

Documents de présentation

Aucun document.

  1. 15. Methods for Implementing Scalable User Sampling in Audience Data
    Guruganesh Kotta
    10/10/2017 16:50
  2. 16. Genomics databases
    Magali Ruffier
    10/10/2017 16:55
  3. 17. Ensembl Data - Going Beyond The Browser
    Dan Staines
    10/10/2017 17:00
  4. 19. Highly Scalable Real-Time Analytics with CloudDBAppliance
    Boyan Kolev
    10/10/2017 17:05
  5. 20. Efficient computation of aggregate functions in large scale data processing frameworks
    Zhang Chao
    10/10/2017 17:10
  6. 21. Bullet - A Real Time Data Query Engine
    Akshai Sarma
    10/10/2017 17:15
  7. 22. A Dynamic High-Speed Inter-Cluster Kafka Replicator
    Lokesh Balakrishnan
    10/10/2017 17:20
  8. 23. AstroServer - A Framework for Real-time Analysis in Large-scale Astronomical Data
    Xiaofeng Meng
    10/10/2017 17:25
  9. 24. eHive - a System for Massive High-throughput Computation
    Brandon Walts
    10/10/2017 17:30
  10. 25. Physics Data Analytics and Data Reduction with Spark
    Evangelos Motesnitsalis
    10/10/2017 17:35
  11. 26. Cooking Recipe Benchmark Initiative for Recommendation Evaluation
    Frederic Andres
    10/10/2017 17:40
  12. 27. Testing Oracle Database In-Memory for CERN applications
    Artur Zygadło
    10/10/2017 17:45
  13. 28. Large Scale Data Management of Astronomical Surveys with AstroSpark
    Mariem Brahem
    11/10/2017 11:45
  14. 29. An Experimental Survey on Big Data Frameworks
    Wissem Inoubli
    11/10/2017 11:50
  15. 30. PSH-DB, a key-value system to index and retrieve biological DNA sequences
    Jocelyn De GoËr
    11/10/2017 11:55
  16. 31. From Data silos to multi-sources and multi-agents Cognitive Platform
    Aymeric Brisse
    11/10/2017 12:00
  17. 33. Virtual twin in the industrial world
    Julien Fayolle
    11/10/2017 12:05
  18. 18. High-cadence Astronomy needs Big Databases
    Dr Bart Scheers (Centrum Wiskunde & Informatica )
  19. 32. How to find instantly a wine bottle from a picture and a database of 1 million images?
    Lucas Nacsa
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