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From IoT data to meaningful data

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.

Christopher MANEU

July 27, 2021
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Transcript

  1. Cyber model
    VALUE OF IOT DEPLOYMENTS
    Analytics

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  2. 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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  3. 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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  4. Enrich IoT Data

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

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

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  8. 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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  9. Enriching data with Stream
    Analytics and Synapse
    DEMO

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  10. Make IoT Data accessible

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  11. 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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  12. IoT empowers immediate action

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

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  14. 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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