Building and deploying data pipelines is just the first step in ensuring a reliable and efficient data integration process. Equally important is the ability to monitor and troubleshoot your pipelines to identify and resolve issues quickly. In this session, we'll explore best practices and tips for monitoring and troubleshooting Azure Data Factory pipelines.

We'll start by discussing the importance of pipeline monitoring and the key metrics and logs available in Azure Data Factory. Then, we'll walk you through the process of setting up and configuring monitoring for your pipelines using tools like Azure Monitor and Log Analytics.

Through practical demonstrations and real-world scenarios, you'll learn how to identify and diagnose common pipeline issues, such as failures, performance bottlenecks, and data inconsistencies. We'll also cover advanced topics like custom logging, alerting, and error handling strategies.

By attending this session, attendees will gain:

*An understanding of the importance of monitoring and troubleshooting in data integration
*Practical knowledge of the monitoring and troubleshooting capabilities of Azure Data Factory
*Strategies for setting up and configuring effective pipeline monitoring
*Best practices for identifying and resolving common pipeline issues and optimizing performance