When scientists at the world’s largest and most powerful particle accelerator need to analyze results, they do so with Hadoop. Cloudera’s Mike Olson is joined by Manuel Martin Marquez, a senior research and data scientist at CERN, to discuss Hadoop’s role in the modern data strategy and how CERN is using Hadoop and information discovery to help drive operational efficiency for the Large Hadron Collider.
Mike Olson cofounded Cloudera in 2008 and served as its CEO until 2013, when he took on his current role of chief strategy officer. As CSO, Mike is responsible for Cloudera’s product strategy, open source leadership, engineering alignment, and direct engagement with customers. Previously, Mike was CEO of Sleepycat Software, makers of Berkeley DB, the open source embedded database engine, and he spent two years at Oracle Corporation as vice president for embedded technologies after Oracle’s acquisition of Sleepycat. Prior to joining Sleepycat, Mike held technical and business positions at database vendors Britton Lee, Illustra Information Technologies, and Informix Software. Mike holds a bachelor’s and a master’s degree in computer science from the University of California, Berkeley.
Manuel Martin Marquez is a senior research and data scientist fellow at the European Organization for Nuclear Research, CERN. His current activities are focused on the development of new approaches for big data analytics applied to the CERN control system and the implementation of the CERN openlab data-analytics-as-a-service infrastructure (DAaaS). Manuel is member of the Soft Computing and Intelligent Information Systems (SCI2S) research group and the Distributed Computational Intelligence and Time Series lab (DICITS), both at the University of Granada, Spain.
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