In today's data-driven landscape, organizations often face the challenge of integrating data from disparate sources, both on-premises and in the cloud. In this session, we'll explore how Azure Data Factory, a fully managed data integration service, can help you build robust and scalable data pipelines with ease.

We'll start by discussing the common pain points of data integration, such as data silos, complex ETL processes, and data consistency issues. Then, we'll introduce you to Azure Data Factory and its powerful features for data movement, transformation, and orchestration.

Through step-by-step demonstrations and real-world scenarios, you'll learn how to create and manage data pipelines using Azure Data Factory. We'll cover topics like data connectors, data flows, and control flows, showcasing how Azure Data Factory can help you streamline your data integration processes.

By attending this session, attendees will gain:

*An understanding of Azure Data Factory and its role in data integration
*Practical skills for designing and implementing data pipelines using Azure Data Factory
*Knowledge of how to integrate Azure Data Factory with other Azure services for end-to-end data solutions
*Best practices for monitoring, troubleshooting, and optimizing data pipelines in Azure Data Factory