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This is an example of how sensor data of various machines can be mashed up with first class systems and a dashboard which paints an end - to end picture can be shown Here bicycle data on 4 different tours in the USA, send sensor information every second to the Amazon WebServices. Information such as tire pressure, speed, brake pad temperature, chain condition is sent 6 hours a day, which is about 500,000 rows of data for 4 bicycles for a 6 day period. eQube-MI (eQ's Migration and integration platform) is used to ingest this data from Amazon WebServices into a Hadoop cluster. eQube-BI (eQ's Business Intelligence platform) reports out of this hadoop cluster within Teamcenter Active Workspace user interface. A dashboard of the sensor data is shown here, and later the user views the BOM of the Bicycle along with the CAD model rendered in the dashboard. The CAD geometry is shown in different colors to highlight anomalies that were found in the sensor data where issues were detected. Here data from the Edge (sensor data) is mashed up with the core system (Teamcenter in this case) where the design engineer can view information from the field along with design data. And therefore the term "Edge to the Core". The user is shown raising a change request after seeing the defects found during this tour. As the dashboard can be viewed in Teamcenter Active Workspace, it becomes easy for the engineer to study the anomalies and accordingly raise a change request in Teamcenter. Connect with us: Website : https://www.1eq.com Email : [email protected] LinkedIn : / eq-technologic YouTube : / 1eqtech Facebook : / 1eqtechnologic Instagram : / 1eqtechnologic