Introduction
With the wide range of data stores available in Azure, there's the need to manage and orchestrate the movement data between them. In fact, you'll usually want to automate extract, transform, and load (ETL) workloads as a regular process in a wider enterprise analytical solution. Pipelines are a mechanism for defining and orchestrating data movement activities. In this module, you'll be introduced to Azure Synapse Analytics pipelines, their component parts, and how to implement and run a pipeline in Azure Synapse Studio.
Note
Azure Synapse Analytics pipelines are built on the same technology as Azure Data Factory, and offer a similar authoring experience. The authoring processes described in this module are also applicable to Azure Data Factory. For a detailed discussion of the differences between Azure Synapse Analytics pipelines and Azure Data Factory, see Data integration in Azure Synapse Analytics versus Azure Data Factory.