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IBM Spectrum Scale HDFS Transparency implementation integrates both the NameNodes and the DataNodes services and responds to the request as if it were HDFS on IBM Spectrum Scale file system. Starting from HDFS Transparency version 3.1.1 and IBM Spectrum Scale version 5.0.4.2, HDFS Transparency...
Containerized workloads have the advantage of having consistent runtime environment to quickly go from development to production, required application isolation and low resource overheads. Hence more and more customers are looking to run their Hadoop/Spark workloads inside containers to...
IBM Spectrum Scale offers flexible and scalable software-defined file storage for analytics workloads. Enterprises around the globe have deployed IBM Spectrum Scale to build large data lakes for running data intensive workloads, including AI, high-performance computing (HPC) and analytics. IBM...
The ever expanding and accelerating generation of Big data has made mandatory the usage of more efficient and robust storage filesystems. The data migration across multiple storage mediums is proving to be expensive. There is an inevitable and urgent need to perform inplace data analytics and to...
The Big data revolution has led to increased number of data processing and analytics applications. These Big data analytics ecosystems requires a robust, scalable and enterprise level file system to store this huge amount of data. The default file system used in Hadoop ecosystem for storing the...
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