Abstract:
Embodiments presented herein provide techniques for managing data in manufacturing systems. One embodiment includes receiving a set of data from a plurality of devices operating in a manufacturing environment. A portion of the set of data is written by a data management application to both a relational database and a distributed storage cluster that includes a plurality of storage nodes in a distributed computing environment. Upon receiving a query to extract a subset of data from the set of data, the query is analyzed to determine attributes of the query. Based, in part on the analysis, one of the relational database and the distributed storage cluster is selected for processing the query.
Abstract:
An event processing system identifies a process event associated with an identified defect in a manufacturing process. The event processing system selects a plurality of data elements from a manufacturing data source based on the process event. The manufacturing data source is associated with the manufacturing process during execution of the manufacturing process. During execution of the manufacturing process, the event processing system applies an event rule to the plurality of data elements to determine whether the event rule is satisfied. During execution of the manufacturing process, the event processing system performs a predefined action upon determining that the event rule is satisfied and selects additional data elements from the manufacturing data source upon determining that the event rule is not satisfied.
Abstract:
An event processing system identifies a process event associated with an identified defect in a manufacturing process. The event processing system selects a plurality of data elements from a manufacturing data source based on the process event. The manufacturing data source is associated with the manufacturing process during execution of the manufacturing process. During execution of the manufacturing process, the event processing system applies an event rule to the plurality of data elements to determine whether the event rule is satisfied. During execution of the manufacturing process, the event processing system performs a predefined action upon determining that the event rule is satisfied and selects additional data elements from the manufacturing data source upon determining that the event rule is not satisfied.
Abstract:
A big data analytics system obtains a plurality of manufacturing parameters associated with a manufacturing facility. The big data analytics system identifies first real-time data from a plurality of data sources to store in memory-resident storage based on the plurality of manufacturing parameters. The plurality of data sources are associated with the manufacturing facility. The big data analytics system obtains second real-time data from the plurality of data sources to store in distributed storage based on the plurality of manufacturing parameters.