Managing 1 PB of data with Oracle Autonomous Data Warehouse
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04.03.2020
15:00 CET
Reducing Database Operation Time and Data Storage Requirements at CERN
At the European Laboratory for Particle Physics, CERN, the world’s largest and most complex scientific instruments—particle accelerators and detectors—probe the fundamental structure of the universe. The control systems at CERN need to monitor more than 2 million signals in real-time, generating 2.5 TB per day.
Since 1982, CERN has been successfully adopting Oracle technology. Now, CERN is investigating Autonomous Data Warehouse to improve the performance of its research infrastructures.
And join this on-demand webcast with Manuel Marquez, Openlab Coordinator at CERN, to hear how ADW is used to significantly reduce CERN’s database operation time, and dramatically reduce data storage requirements.
At the European Laboratory for Particle Physics, CERN, the world’s largest and most complex scientific instruments—particle accelerators and detectors—probe the fundamental structure of the universe. The control systems at CERN need to monitor more than 2 million signals in real-time, generating 2.5 TB per day.
Since 1982, CERN has been successfully adopting Oracle technology. Now, CERN is investigating Autonomous Data Warehouse to improve the performance of its research infrastructures.
And join this on-demand webcast with Manuel Marquez, Openlab Coordinator at CERN, to hear how ADW is used to significantly reduce CERN’s database operation time, and dramatically reduce data storage requirements.
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This webcast is part of the Oracle Global Leaders webcast series