Data Engineering At CERN Case Study | #065

How is CERN doing Data Engineering? The must get huge amounts of data from the Large Hydron Colider. Let's check it out.

All the links we discussed:
https://en.wikipedia.org/wiki/Large_Hadron_Collider
http://www.lhc-facts.ch/index.php?page=datenverarbeitung
https://openlab.cern/sites/openlab.web.cern.ch/files/2018-09/2017_ESADE_Madrid_Big_Data.pdf
https://openlab.cern/sites/openlab.web.cern.ch/files/2018-05/kubeconeurope2018-cern-180507122303.pdf
https://www.slideshare.net/SparkSummit/next-cern-accelerator-logging-service-with-jakub-wozniak
https://databricks.com/session/the-architecture-of-the-next-cern-accelerator-logging-service
http://opendata.cern.ch
https://gobblin.apache.org
https://www.slideshare.net/databricks/cerns-next-generation-data-analysis-platform-with-apache-spark-with-enric-tejedor
https://www.slideshare.net/SparkSummit/realtime-detection-of-anomalies-in-the-database-infrastructure-using-apache-spark-with-daniel-lanza-and-prasanth-kothuri


Check out my free 100+ pages data engineering cookbook on GitHub:
https://github.com/andkret/Cookbook


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