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Hadoop 0.20 implicitly trusts the user when they state their username and group membership. That is acceptable when used by small teams, but large corporations need more control. For example, large corporations need to have independent clusters for each different kind of sensitive information (financial, personal identifiable information, etc.) and control access by limiting access to those clusters. With Hadoop’s new security features and its integration with Kerberos, it is possible to verify that the user is who they claim to be and ensure they only have the correct access to data or resources. This allows corporations to allow finer grained access to information and reduce their operational overhead by coalescing their distinct clusters. This presentation will cover the goals of security and how to use the new features to ensure the security of their HDFS and MapReduce clusters. I will also include Yahoo’s experiences deploying the back-ported Hadoop Security features on their science and production clusters.
Owen O’Malley is a software architect on Hadoop working for HortonWorks, a startup focusing on Hadoop development. Prior to cofounding HortonWorks, Owen and the rest of the HortonWorks team worked at Yahoo developing Hadoop. He has been contributing patches to Hadoop since before it was separated from Nutch and was the original chair of the Hadoop PMC. Before working on Hadoop, he worked on Yahoo Search’s WebMap project, which builds a graph of the known Web and applies many heuristics to the entire graph that control search. Prior to Yahoo, Owen wandered between testing (UCI), static analysis (Reasoning), configuration management (Sun), and software model checking (NASA). He holds a PhD in software engineering from the University of California, Irvine.
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