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

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3. Cyber model
   VALUE OF IOT DEPLOYMENTS
   Analytics
   

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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
   

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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
   

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6. Enrich IoT Data
   

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7. An IoT Architecture
   Azure
   IoT Hub
   ? Where to store our data ?
   Where to process our data ? Power BI
   

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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
   

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9. Azure
   IoT Hub
   Azure
   Stream Analytics
   X events /
   second
   1 line
   / device
   / hour
   

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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
    

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11. Enriching data with Stream
    Analytics and Synapse
    DEMO
    

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12. Make IoT Data accessible
    

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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
    …
    

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14. IoT empowers immediate action
    

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15. IoT Data exploration with
    Time series insights, Power BI,
    CosmosDB and Logic Apps
    DEMO
    

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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
    

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