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SQLBits 2025
Using log data in Fabric Real Time Intelligence - a practical example with Spark
Want to know how to use Fabric Real Time Intelligence to make logs data? If so - this is the session for you. In this demo-centric session we will go through the end-to-end set-up process to get more visibility into your processes. We will use Fabric events and Fabric Spark Logs to demonstrate this, but any logging can be used.
In this session I will discuss how to use Fabric's Real Time Intelligence capabilities to ingest, analyse and action logs from any service.
During this session I will use logs from Fabric events and Fabric Spark as a practical example of how Fabric Real Time Intellgence enables a user to work with logs and make sense from them.
In this session we will:
1 - step through the set-up process
2 - walkthrough the different logging options
3 - ways to analyse the logs with KQL
4 - how to extend the logs to enable actions and alerts from the logs.
This session will be primarily demo-centric, and requires no knowledge of Spark/Data Engineering and/or Real-Time Intelligence. A basic understanding of Fabric concepts is preferable.
During this session I will use logs from Fabric events and Fabric Spark as a practical example of how Fabric Real Time Intellgence enables a user to work with logs and make sense from them.
In this session we will:
1 - step through the set-up process
2 - walkthrough the different logging options
3 - ways to analyse the logs with KQL
4 - how to extend the logs to enable actions and alerts from the logs.
This session will be primarily demo-centric, and requires no knowledge of Spark/Data Engineering and/or Real-Time Intelligence. A basic understanding of Fabric concepts is preferable.