Apache Spark Distributed Computing

  Apache Spark is a computational framework that can quickly handle big data sets and distribute processing duties across numerous systems, either in conjunction with other parallel processing tools. These two characteristics are critical in big data & machine learning, which necessitate vast computational capacity to process large data sets. Spark relieves developers of some of…

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HDFS vs. GPFS for Hadoop


Spectrum Scale is an IBM GPFS storage device broadly used for large-scale organization clustered file systems that require petabytes of stockpiling, thousands of nodes, gazillions of files, and thousands of users simultaneously accessing data. Spectrum Scale is compatible with numerous data warehouses and business advanced analytics. Most conventional Big Data Cluster deployments use Hadoop Distributed…

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