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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 (GPFS). In HDFS, DataNodes contains the local disk for the file system and in order to scale the storage...
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...
Data is growing exponentially. IBM Spectrum Scale and IBM Spectrum Scale Elastic Server is an enterprise solution that is able to ingest and manipulate data seamlessly under one namespace for existing workloads and new workloads like Analytics, Artificial Intelligence, and Machine learning. This...
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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...
This article describes how to get more value for your analytic workloads from your Spectrum Scale storage by leveraging the following two recent capabilities. These capabilities were added to Spectrum Scale Ambari management pack version 2.4.2.1 along with HDFS Transparency version 2.7.3.1,...
There has been a lot of buzz around Hortonworks HDP platform with IBM Spectrum Scale . That is because this duo combination is a killer one which brings best of the two worlds together : Formula for Big Data and Analytic Deployment: Hortonworks (among the leading big data and analytic...
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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