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  1. Nov 7, 2023 · Follow. 5 min read. ·. Nov 7, 2023. -- Azure Event Hubs is a big data streaming platform and event ingestion service. It can receive and process millions of events per second. It represents...

    • Overview
    • Azure Data Explorer data connection authentication mechanisms
    • Data format
    • Event Hubs properties
    • Events routing
    • Event system properties mapping
    • Ingest custom properties
    • Cross-region Event Hub data connection
    • Set up Geo-disaster recovery solution

    Azure Event Hubs is a big data streaming platform and event ingestion service. Azure Data Explorer offers continuous ingestion from customer-managed Event Hubs.

    The Event Hubs ingestion pipeline transfers events to Azure Data Explorer in several steps. You first create an event hub in the Azure portal. You then create a target table in Azure Data Explorer into which the data in a particular format, will be ingested using the given ingestion properties. The Event Hubs connection needs to know events routing. Data may be embedded with selected properties according to the event system properties. Create a connection to Event Hubs to create an event hub and send events. This process can be managed through the Azure portal, programmatically with C# or Python, or with the Azure Resource Manager template.

    •Managed Identity based data connection (recommended): Using a managed identity-based data connection is the most secure way to connect to data sources. It provides full control over the ability to fetch data from a data source. Setup of a data connection using managed identity requires the following steps:

    1.Add a managed identity to your cluster.

    2.Grant permissions to the managed identity on the data source.

    3.Set a managed identity policy on the target databases.

    4.Create a data connection using the managed identity authentication to fetch data.

    Caution

    •Data is read from the event hub in form of EventData objects.

    •See supported formats.

    Note

    •Data can be compressed using the GZip compression algorithm. You can specify Compression dynamically using ingestion properties, or in the static Data Connection settings.

    Azure Data Explorer supports the following Event Hubs properties:

    •A closed set of ingestion properties, which helps to route the event to the relevant table.

    When you create a data connection to your cluster, you can specify the routing for where to send ingested data. The default routing is to the target table specified in the connection string that is associated with the target database. The default routing for your data is also referred to as static routing. You can specify an alternative routing for...

    System properties store properties that are set by the Event Hubs service, at the time the event is enqueued. The data connection to the event hub can embed a selected set of system properties into the data ingested into a table based on a given mapping.

    Note

    Event Hubs service exposes the following system properties:

    When you work with IoT Central event hubs, you can also embed IoT Hub system properties in the payload. For the complete list, see IoT Hub system properties.

    When ingesting events from Event Hubs, data is taken from the body section of the event data object. However, Event Hubs custom properties are defined in the properties section of the object and are not ingested. To ingest customer properties, you must embed them into the data in body section of the object.

    The following example compares the events data object containing custom property customProperty as defined by Event Hubs (left) with the embedded property required for ingestion (right).

    You can use one of the following methods to embed custom properties into the data in body section of the event data object:

    •In Event Hubs, when creating the event data object, embed the custom properties as part of the data in the body section of the object.

    •Use Azure Stream Analytics to process events from the event hub and embed the custom properties in the event data. From Azure Stream Analytics you can ingest the data natively using the Azure Data Explorer output connector, or route the data into another event hub and from there into your cluster.

    •Use Azure Functions to add the custom properties and then ingest the data.

    Create an event hub

    If you don't already have one, Create an event hub. Connecting to event hub can be managed through the Azure portal, programmatically with C# or Python, or with the Azure Resource Manager template. Note

    Send events

    See the sample app that generates data and sends it to an event hub. For an example of how to generate sample data, see Ingest data from event hub into Azure Data Explorer

    Event hub offers a Geo-disaster recovery solution. Azure Data Explorer doesn't support Alias event hub namespaces. To implement the Geo-disaster recovery in your solution, create two event hub data connections: one for the primary namespace and one for the secondary namespace. Azure Data Explorer will listen to both event hub connections.

    Code sample

    "body":{
    "value": 42
    },
    "properties":{
    "customProperty": "123456789"...
  2. May 21, 2024 · Azure Event Hubs is the preferred event ingestion layer of any event streaming solution that you build on top of Azure. It seamlessly integrates with data and analytics services inside and outside Azure to build your complete data streaming pipeline to serve following use cases.

  3. Event Hubs represents the “front door” for an event pipeline, often called an event ingestor in solution architectures. A component or service that lies between event publishers and event consumers to decouple the production of an event stream from its consumption is known as an event ingestor.

  4. The common role that Event Hubs plays in solution architectures is the “front door” for an event pipeline, often called an event ingestor. An event ingestor is a component or service that sits between event publishers and event consumers to decouple the production of an event stream from the consumption of those events.

  5. Sep 7, 2022 · An event ingestor is a component or service that sits between event publishers and event consumers to decouple the production of an event stream from the consumption of those events.

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  7. Jun 28, 2023 · Event Hubs represents the “front door” for an event pipeline, often called an event ingestor in solution architectures. An event ingestor is a component or service that sits between event publishers and event consumers to decouple the production of an eventstream from the consumption of those events.

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