➡️ A pipeline is a logical collection of activities that work together to complete a task. A pipeline, for example, could include a set of activities that ingest and clean log data before launching a mapping data flow to analyze the log data. The pipeline enables you to manage the activities as a group rather than individually. Instead of deploying and scheduling the activities separately, you deploy and schedule the pipeline.
➡️ If you want to create a pipeline in azure data factory then this blog is for you. In this blog, we create a data factory by using the Azure Data Factory user interface (UI). The pipeline in this data factory copies data from Azure Blob storage to a database in Azure SQL Database.
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