Overview Recently we worked with a customer that needed to run a very significant amount of models in a given day to satisfy internal and government regulated risk requirements. Several thousand model executions would need to be supported per hour. Total execution time was very important to this client. In the past the customer used thousands of servers to meet the demand. They need to run many derivations of this model with different economic factors to satisfy their requirements. Read more The post The Benefits of Migrating HPC Workloads To Apache Spark appeared first on Cloudera Engineering Blog.


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This article is related to

CDH,Data Science,Hadoop,Spark,Cloudera Data Science Workbench,High Performance Computing (HPC)