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University of Cambridge > Talks.cam > Data Intensive Science Seminar Series > Challenges of Big Data in Science
Challenges of Big Data in ScienceAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact James Fergusson. The LHC and its four large experiments have generated unprecedented volumes of data over the past 8 years, and required a novel infrastructure and analysis mechanisms to be implemented in order to manage, process, and analyze data at such a scale. Over the next 10 years both the Square Kilometre Array (SKA) radio telescope and the LHC experiments at CERN will likely generate scientific data at the Exabyte scale. This talk will describe what has been put in place for LHC , and the possible synergies between SKA and LHC over the coming years. A collaboration agreement has recently been signed between CERN and the SKA to explore these commonalities. Both of these are global scientific collaborations and, in many countries, will necessarily make use of the same computing infrastructures. The talk will describe some of the aspects of the collaboration and some of the ideas being discussed for the future data analysis environments. This talk is part of the Data Intensive Science Seminar Series series. This talk is included in these lists:
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