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Showing 1 to 3 of 3 for “"Hadoop systems"”.

  1. Data analytics with mapreduce in apache spark and hadoop systems

    MapReduce comes from a traditional problem solving method: separating a big problem and solving each small parts. With the target of computing larger dataset in more efficient and cheaper way, this is implement into a programming mode to deal with massive quantity of data. The users get a map …

    njit Repository record for Data analytics with mapreduce in apache spark and hadoop systems (opens in a new tab)

  2. Implementation of digital forensics readiness in big data wireless medical networks

    … supported by an automated, user-friendly Linux-Hadoop Forensics Extractor (LHFX) tool tailored for big data Linux-Hadoop environments. Two prototypes were developed: a partial implementation of the framework’s big data DFR (BdDFR) environment and a fully functional LHFX tool. The proposed …

    middlesex Repository record for Implementation of digital forensics readiness in big data wireless medical networks (opens in a new tab)

  3. Research on High-performance and Scalable Data Access in Parallel Big Data Computing

    … many dedicated data-intensive storage systems such as Google File System(GFS), Hadoop Distributed File System(HDFS) and Quantcast File System(QFS) have been developed. Currently, the Hadoop Distributed File System(HDFS) [20] is the state-of-art and most popular open-source distributed …

    ucf