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XLDB 2013 Workshop Europe

28–29 May 2013
CERN
Europe/Zurich timezone

Local Organisers

Session

Lightning Talks

28 May 2013, 17:30
60/6-015 - Room Georges Charpak (Room F) (CERN)

60/6-015 - Room Georges Charpak (Room F)

CERN

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Conveners

Lightning Talks

  • Manuel Martin Marquez (CERN)

Presentation materials

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  1. 27. Towards an integrated Big Data Architecture
    Achim Schlosser (P)
    28/05/2013, 17:30
    Big Data processing has be come more and more commodity in the last years. Specialised systems for different purposes have emerged and proven to be of great benefit in their area. This reaches from key-value stores in all their different flavours (pure key-value, document, tablet ..), graph databases, peta-scale storage systems, CEP-systems and all the above. Most of these system solve the...
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  2. 29. Architectures for Massive Parallel Data Base Clusters providing Linear Scale-Out and Fault Tolerance on Commodity Hardware for OLTP Workloads
    Mr Romeo Kienzler (IBM)
    28/05/2013, 17:35
    Apache Hadoop seems to evolve to the de-facto standard for large scale OLAP processing. Ignoring the overhead of three fold data block redundancy and inter-node communication between the Shuffle and Reduce phase Hadoop introduces significant drawbacks when it comes to random data access patterns and concurrency. Although the Brewer's theorem implies that Consistency, Availability and...
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  3. 26. Large File System Optimisation and User Education
    Philipp Zigann (CERN)
    28/05/2013, 17:40
    The storage volume in the CERN Computing Center is growing constantly and exceeded 100 PB in February 2013. To increase the efficiency of analysis tasks, the EOS storage system has been developed, which is optimized to handle random access to physics data. The current setup is running with a disk volume of 40 PB and more than 1000 users. We analyse file related metrics such as throughput,...
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  4. 30. Real-Time Analytics on Massive Time Series
    Prof. Philippe Cudre-Mauroux (U. of Fribourg)
    28/05/2013, 17:45
    Large-scale critical infrastructures such as transportation, energy, or water distribution networks are increasingly equipped with smart sensor technologies. Low-latency analytics on the resulting times series would open the door to many exciting opportunities to improve our grasp on complex urban systems. However, sensor-generated time series often turn out to be noisy, non-uniformly sampled,...
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  5. 16. Big Data Analytics with Stratosphere: A Sneak Preview
    Kostas Tzoumas (T)
    28/05/2013, 17:50
    In this talk I will give a sneak preview of Stratosphere, an open-source software stack for parallel analysis of "Big Data". Stratosphere combines features from relational DBMSs and MapReduce: it enables "in situ" data analysis using user-defined functions, declarative program specification, and automatic program optimization, covering a wide range of use cases, from data warehousing to...
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  6. 7. The Parallel Universe Effect between Data-Intensive Physics and Banking
    Dr Kurt Stockinger (Credit Suisse)
    28/05/2013, 17:55
    The concept of the parallel universe is known both in philosophy and physics and is sometimes used to describe concurrent physical phenomena that occur in isolation without communication. In this talk we investigate the concept from a completely different angle. We introduce the parallel universe effect of two data-intensive disciplines, namely physics and banking. At the first glance this...
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