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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 online Microsoft Azure platform that decouples infrastructure components (data ingestion, storage, data movement, visualisation) from an analytics engine that supports modern DS languages like R and Python. The solution modelling 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 about 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, which will be consumed in the rest of the solution flow and stored in Azure SQL Data Warehouse.
- There are two 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 visualisation.
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