Using log data in Fabric Real Time Intelligence - a practical example with Spark

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.

1 - Understanding of how real-time intelligence can be used for logging scenarios. 2 - Understanding of the detailed logging options for Data Engineering in Fabric 3 - Practical guidance on how to configure data engineering logging through real time intelligence.