In this full day training data session, we'll quickly cover the fundamentals of data integration pipelines before going much deeper into our Azure resources (Data Factory & Synapse Pipelines). Within a typical Azure data platform solution for any enterprise grade data analytics or data science workload an umbrella resource is needed to trigger, monitor, and handle the control flow for various workloads, with the goal being actionable data insight. Those requirements are met by deploying Azure Data Integration pipelines, delivered using Azure Synapse Analytics or Azure Data Factory. In this session, we will explore how to create rich, dynamic, metadata driven pipelines and apply these orchestration resources in production. Using scaled out architecture design patterns, best practice, data mesh principals, and the latest open source frameworks. We will take a deep dive into the resources, considering how to build custom activities, complex pipelines and think about hierarchical design patterns for enterprise grade deployments. All this and more in a complete set of learning modules, with hand on labs, we will take you through how to implement data integration pipelines in production and deliver advanced orchestration patterns (based on real world experience).