Azure Data Factory is a cloud data integration service that allows users to create data-driven workflows (pipelines) comprised of activities to move and transform data. Pipelines contain a series of interconnected activities that perform data extraction, transformation, and loading. Data Factory connects to various data sources using linked services and can execute pipelines on a schedule or on-demand to move data between cloud and on-premises data stores and platforms.

1. Azure Data Factory

2. ETL
• Extract
• Transform
• Load
Source
Data
Extract
Destination
(sink)LoadTransform

3. Components of ADF
• Pipeline: A group of activities that work together to perform a task
• Activity: Action to perform on data
• DataSet: Named view of data

4. Connecting to your data (Linked Services)
• Built-In Connectors
• Azure services
• Databases
• File System
• Apps & Services
• Custom
• REST
• ODBC

5. Executing a pipeline
• On-Demand
• Schedule

6. Create an ADF
https://portal.azure.com

11. Objects in ADF
Azure Data Factory
Pipelines
Activities DataSet
Connection
Integration Runtime