| Document Date: 2014-02-02 20:47:34
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Company Amazon / RDDs / MySQL / / Facility store RDD / checkpoint RDDs / RDD opera / Ion Stoica University of California / representing each RDD / / IndustryTerm typical learning algorithms / machine learning algorithms / interactive data mining / data mining example / shared memory systems / interactive data mining tools / web application / batch applications / lineage chain / web service / graph algorithms / iterative algorithms / heartbeat protocol / in-memory data mining / classification algorithm / software stack / parallel applications / cluster network / lightweight processing / systems / user applications / flow systems / log mining example / iterative machine learning applications / asynchronous applications / incremental web crawler / iterative applications / graph applications / data-parallel systems / / Organization UC Berkeley / Ion Stoica University / University of California / Berkeley / / Person Michael J. Franklin / Scott Shenker / Justin Ma / / Position driver / Spark scheduler / unified memory manager / Spark interpreter / Interpreter / Scala interpreter / tasks RAM Input Data Worker / Worker Input Data Driver RAM Worker / Mesos cluster manager / scheduler / job scheduler / / Product Scala / Spark / Hadoop / PageRank / / ProgrammingLanguage Java / Python / SQL / Ruby / Scala / / ProvinceOrState Manitoba / California / / Technology functional programming / typical learning algorithms / RAM / machine learning algorithms / API / machine learning / random access / classification algorithm / shared memory / graph algorithms / PageRank algorithm / Java / heartbeat protocol / HTTP / data mining / /
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Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma,