Learn how to leverage Azure Synapse Analytics pipelines in enterprise-scale data workloads. We will discuss components associated with running a pipeline, such as linked services, datasets, triggers, and integration runtime. We will review activities and control structures commonly used in data orchestrations. We will also discuss leveraging data flows for code-free data transformations and the flexibility to drop down to code should the need arise. We will cover monitoring and debugging techniques, how to plan for a non-happy path scenario – as well as touch on performance optimizations for your data workloads.