Azure Data Factory allows users to create pipelines to logically group together data activities. A pipeline can contain multiple activities like ingesting, cleaning, and analyzing log data. Managing activities as a set in a pipeline allows users to deploy and schedule the group of activities together rather than individually. The document demonstrates how to create an Azure Data Factory pipeline by navigating to the Azure portal and building out the pipeline functionality.

1. 6- Azure Data Factory
 Introduction of ADF Pipeline
 Demo – Creation of ADF Pipeline
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2. Azure Data Factory
Pipelines:
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A pipeline is a logical grouping of activities that together perform a task.
For example, a pipeline could contain a set of activities that ingest and clean log
data, and then kick off a mapping data flow to analyze the log data. The pipeline
allows you to manage the activities as a set instead of each one individually. You
deploy and schedule the pipeline instead of the activities independently.

3. Azure Data Factory
Creation of Azure Pipeline
Demo
https://portal.azure.com/
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4. Thank You
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