From IoT data to meaningful data

IoT devices produces a lot of data. While the first step is generally to display it somewhere in a dashboard, the real game is to make this data available within the line of business applications and users. During this session, you'll see how you can put your IoT data at work with Azure.

Who is it aimed at?
Architects and IoT engineers

Why should I attend?
To understand how to quickly leverage IoT-generated data in your solutions.

Transcript

3. Cyber model VALUE OF IOT DEPLOYMENTS Analytics
4. How IoT Data can be meaningful? Accessible To business databases To data engineers/scientists To business applications Enriched With context data With reference data Realtime
5. The nature of IoT Data JSON Documents Metadata Unstructured bin DeviceId 14f8gq51gq Customer ContosoCity LocationGps 43.5887 1.4522 DeviceType AirQualityv2 Building Main BuildingType School { "TimeStamp": "2020- 0812T13:58:07.5203217Z", "Co": 20.6515621746199, "Co2": 48.47952265338019, "Ppm10": 257.44680750414, "Ozone": 163.747165663515, "EventProcessedUtcTime": " 2020-08- 12T13:58:13.2928373Z", "PartitionId": 3, "EventEnqueuedUtcTime": "2 020-08-12T13:58:08.08500Z" Weather Sunny Wind (km/h) 28
6. Enrich IoT Data
7. An IoT Architecture Azure IoT Hub ? Where to store our data ? Where to process our data ? Power BI
8. Store processed data Enrich data before storing it Azure IoT Hub Azure Data Lake Gen 2 Azure Stream Analytics Azure Synapse Analytics Azure SQL Datawarehouse Azure SQL Power BI Store raw data
9. Azure IoT Hub Azure Stream Analytics X events / second 1 line / device / hour
10. Using IoT as an operational Data Source Azure IoT Hub Azure Data Lake Gen 2 Azure Stream Analytics Azure Synapse Analytics Azure SQL Datawarehouse Azure SQL Power BI Azure Data Factory Synapse Analytics
11. Enriching data with Stream Analytics and Synapse DEMO
12. Make IoT Data accessible
13. Who needs to access IoT data ? Who? Type of data Tools of trade Data / Business analysts Aggregated data Power BI SQL Databases Time Series Insights … Developers Raw data Event stream Aggregated data IoT Hub / Event Hub Logic App (Webhook) Synapse (SQL) / Azure Data Lake Time Series Insights … Data Scientists Raw data Synapse (SQL) Azure Data Lake Notebooks … End users Aggregated data Enriched data Power BI Teams Business applications …
14. IoT empowers immediate action
15. IoT Data exploration with Time series insights, Power BI, CosmosDB and Logic Apps DEMO
16. Using IoT as an operational Data Source Azure IoT Hub Teams Business services Azure Data Lake Gen 2 Azure Stream Analytics Event Hubs Logic App Azure Synapse Analytics Azure SQL Datawarehouse Azure SQL Time Series Insights Power BI Azure Data Factory Synapse Analytics