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Description
Today, data is everywhere: Applications, personal devices, enterprise systems, and Internet of Things (IoT) products are all constantly both generating and receiving data. If you can capture this data and put it to work effectively, it can point your organization’s decision-makers toward better, more informed choices. Decision support systems (DSS), such as those your company may host with Apache Spark, help extract key data points to offer actionable insights. To be most successful, however, DSS workloads must process data quickly—if they’re too slow, the maintenance window you use to process the data may grow too large, eating up downtime SLAs. Organizations choosing to run their DSS workloads in the cloud need to know what instance types will give them the optimal performance for their budget.