Azure (I)IoT Guide - (I)IoT in Practice. The Big What, Where, How and Where To with the Data
summary
A practical overview of where and how to store and process IoT and IIoT data using Azure services. It covers organisational, technical and analytical perspectives and introduces IoTHub, IoTEdge, Azure Stream Analytics, Data Lake, Azure SQL, Databricks and Synapse as part of end-to-end data handling and analysis.
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chapters (15)
- 0:00Welcome and introduction
- 1:40Big what where how with data
- 3:27Reference architecture and data flow
- 8:01Data processing and machine learning
- 14:11Data Lake structure and setup
- 21:38Data Lake structure explained
- 27:02Bronze silver gold data layers
- 33:26Access rights and control
- 36:58Event Hubs and security
- 40:35Storing and processing data
- 46:11Stream Analytics details
- 50:04Using Data Bricks for data
- 53:18Analyzing and visualizing data
- 57:53Machine Learning example
- 59:00Summary and conclusion
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