Presentations

    Applied Mathematics Conference, Győr, Hungary

    András Benczúr
    06/01/2016 - 18:00

    Ericsson Academy Day

    András Benczúr
    05/31/2016 - 10:00

    Hadoop Open Platform-as-a-Service (Hops)

    Gautier Berthou (KTH/SICS, Stockholm)
    03/26/2015 - 10:15

    Hadoop is the de-facto standard for Big Data, that is, large scale data processing and storage. Hadoop is a relatively young platform that still suffer from fundamental scalability issues: all the file system metatdata must be stored in the memory heap of one unique node, the name node, and all the scheduling ecisions are taken by one unique node, the scheduler. At KTH/SICS, we are developing Hadoop Open Platform-as-a-Service (Hops), a new distribution of Apache Hadoop with scalable, highly available, customizable metadata and scheduling.

    Packages and testing in R

    Adrienn Szabó
    10/02/2014 - 10:15

    How to share R codes? How does a package look like? What tools are there for testing?
    And what is Reproducible Research? Finally, we solve a problem in R.

    Introduction to R

    Adrienn Szabó
    09/25/2014 - 10:15

    What and who is R useful for? Basic data structures and control structures, some examples.

    Stratosphere presentation @ Big Data Meetup

    Márton Balassi
    05/08/2014 - 19:00

    Short talk at the Budapest Big Data Meetup Group.

    DataStream conference: I'll find you, Big Data!

    Sidló Csaba
    04/15/2014 - 14:00

    Hungarian Big data talk on Clementine Consulting's dataStream conference.

    ISOTDAQ 2014

    Márton Balassi
    02/07/2014 - 15:00

    The Fifth International School on Trigger and Data Acquisition organized by CERN and KFKI took place between 28th January and 5th February, 2014 at the Wigner Research Centre for Physics, Budapest, Hungary.

    ITBusiness Club

    Sidló Csaba
    01/14/2014 - 09:00

    Janury club event and article (Hungarian) of the ITBusiness magazine.

    Longneck on the BI Forum 2013, Open Analytics Day

    Sidló Csaba
    11/06/2013 - 16:00

    How to implement a data quality tool, and how we did it with our tool called Longneck.

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