Fabric RTI 101: Azure and AWS Storage Events

Another important category of real-time sources comes from cloud storage platforms like Azure Blob Storage and AWS S3. These aren’t just passive data stores — they can actually generate events whenever something happens to the data inside them.

For example, when a new file is uploaded into a data lake, the storage service can immediately raise an event. That event might then trigger an ingestion pipeline, start a transformation process, or kick off machine learning model scoring. The key here is that you don’t have to wait for a scheduled scan or a batch job to check for new files. The storage system itself notifies you the instant a change occurs.

These events aren’t limited to uploads either. They can fire when an object is created, modified, or deleted. That gives you fine-grained awareness of what’s happening in your storage environment in real time.

This capability effectively turns your cloud storage into a real-time event source. Instead of just thinking of it as a landing zone for files, you can treat it as a trigger point for analytics, processing, or automation.

For example, if you’re in Azure, a new file landing in Blob Storage could immediately route through a Fabric Eventstream, or in AWS, an S3 event might trigger a Lambda function to process the file.

By integrating these storage events, you make your pipelines reactive instead of scheduled. The moment new data arrives, the system responds automatically, ensuring fresher insights and faster time to value.
 

Learn more about Fabric RTI

If you really want to learn about RTI right now, we have an online on-demand course that you can enrol in, right now. You’ll find it at Mastering Microsoft Fabric Real-Time Intelligence

2026-02-22