Predictive Maintenance Solution Sheet

Predictive maintenance analytics requires the collection, storage, and analysis of large volumes of data (in many different formats) including; equipment sensors, diagnostics readings, and maintenance records. Collecting sensor data and diagnostic reports requires data movement that runs on equipment in remote locations (usually with slow or limited network connectivity) with constrained processing resources. More machines equate to more data being transferred to the data center. Collection of all this data must reside on a cost-effective storage platform that supports horizontal scale to accommodate higher data rates.

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