New IBM Data Analytics Software Targets Workload Management, Spark Adoption
IBM announced additions today to the infrastructure layer of its high performance data analytics software portfolio, including “cognitive features,” such as scheduling and resource management, and capabilities aimed at easing adoption of Spark.
The new software-defined infrastructure products – in which the data center is managed, provisioned and automated by software regardless of compute, storage or network components – called IBM Spectrum Computing, are intended to reduce the complexity of performance-intensive data analytics and machine learning implementations. They replace IBM’s old “Platform” software portfolio.
Bernard Spang, vice president of IBM Software Defined Infrastructure, told EnterpriseTech that the products are a “blending of what has been traditionally HPC and the need for that technology for enterprise computing, data analytics, Internet of Things,” and other data-intensive workloads.
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