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Estimated Provisioning Time: 30 MinutesThe Cortana Intelligence Suite provides advanced analytics tools through Microsoft Azure - data ingestion, data storage, data processing and advanced analytics components - all of the essential elements for building a Quality Assurance for Manufacturing solution. The solution is implemented in the cloud, using the flexible on-line Microsoft Azure platform that decouples infrastructure components (data ingestion, storage, data movement, visualization) from analytics engine that supports modern DS languages like R and Python. The solution modeling component can thus be retrained as needed and be implemented using high performance Azure Machine Learning algorithms, or open source (R/Python) libraries, or from a third-party solution vendor. The 'Deploy' button will launch a workflow that will deploy an instance of the solution within a Resource Group in the Azure subscription you specify. The solution includes multiple Azure services (described below) along with a web job that simulates data so that immediately after deployment you have a working end-to-end solution. For post deployment instructions and more details on the technical implementation, please see the instructions here.
Technical details and workflow
- The Manufacturing Assembly Line simulation data is streamed by the newly deployed Azure Web Jobs.
- This synthetic data feeds into the Azure Event Hubs as data points/events, that will be consumed in the rest of the solution flow and stored in Azure SQL Data Warehouse.
- There are 2 Azure Stream Analytics jobs used in this pattern to provide near real-time analytics on the input stream from the Azure Event Hub. Both jobs filter through the input data and pass the data points along to a Azure Machine Learning endpoint sending the results to a Power BI Dashboard.
- Finally, Power BI is used for results visualization.
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