Synapse Real-Time Analytics in Microsoft Fabric is a fully managed big data analytics experience optimized for streaming and analyzing real-time data. In this blog post, we’ll learn about the integration between Azure Event Hubs and your KQL database.
One of the components of Real-Time Analytics is the Kusto Query Language (KQL) Database, a fast, powerful, scalable, and highly available tool that is designed to handle large volumes of data in real time. With its simple yet powerful syntax, KQL allows anyone to query, analyze, and visualize data to get insights in real-time. This allows, for example, businesses to quickly respond to changes in their operations and make informed decisions based on the latest data.
One of the key benefits of KQL Databases is its ability to ingest data from a wide range of sources, including Azure Event Hubs, making it easy to get data into the service and start analyzing it.
Azure Event Hubs is a big data streaming platform and event ingestion service that can process and direct millions of events per second with low latency. 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. Event Hubs provides a unified streaming platform with a time retention buffer, decoupling event producers from event consumers.
Screenshot of a KQL database showing the Get data from Event Hubs option
With the new integration, you can ingest data directly from Azure Event Hubs into your KQL database, which is useful when you already have an Azure event hub streaming data, and you want to analyze the data in real-time. Using Azure Event Hubs, you can easily bring data from endless sources including devices and sensors, applications, logs and metrics, and Azure cloud resources.
The integration between Azure Event Hubs and KQL Database is straightforward, utilizing a friendly wizard to ingest data.
Screenshot of the Event Hubs ingestion wizard showing a preview of event data, with the option to modify its format, and adjust nested levels (in case of JSON data)
Screenshot of a KQL query example that analyzes IoT sensor data received from Azure Event Hubs
The video below provides an end-to-end example, which includes several KQL queries for analyzing IoT sensor data coming from Event Hubs.
Get started with Microsoft Fabric
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To read more about the integration of Azure Event Hubs with KQL Database, check out Get Data from Azure Event Hubs.