Understand Azure Data factory Pipeline, activities, linked service
A DevOps pipeline is a set of automated processes and tools that allows developers and operations professionals to collaborate on building and deploying code to a production environment.
Azure Data Factory and Azure Synapse Analytics can have one or more pipelines. A pipeline is a logical grouping of activities that together perform a task. The activities in a pipeline define actions to perform on your data. For example, you might use a copy activity to copy data from SQL Server to Azure Blob storage. Then, you might use a Hive activity that runs a Hive script on an Azure HDInsight cluster to process data from Blob storage to produce output data. Finally, you might use a second copy activity to copy the output data to Azure Synapse Analytics, on top of which business intelligence (BI) reporting solutions are built. For more information about pipelines and activities, see Pipelines and activities.
0:00 - introduction
0:20 - Overview
1:58 - properties of Microsoft Azure
3:10 - New connection (Azure Blog storage )
5:00 - File format setting
5:13 - How to preview data
7:20 - summary of code
8:56 - How to run pipeline
9:40 - Summary
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