Azure Data Factory Course Content

Course Overview:

Course Name               Microsoft Azure Data Factory
Demo Classes On Demand
Mode of Classes           Online
Course Duration 40-45 Hours
Class Availability Weekdays & Weekends
Demo Training Email ID:

Integrate data silos with Azure Data Factory, a service built for all data integration needs and skill levels. Easily construct ETL and ELT processes code-free within the intuitive visual environment or write your own code. Visually integrate data sources using more than 90+ natively built and maintenance-free connectors at no added cost. Focus on your data—the serverless integration service does the rest.

Course Content


  • Introduction to Data Factory
  • Compare current version to version 1


  • Create data factory - User interface (UI)
  • Create data factory - Copy Data tool
  • Create data factory - Azure PowerShell
  • Create data factory - .NET
  • Create data factory - Python
  • Create data factory - REST
  • Create data factory - Resource Manager template
  • Create data flow


  • Copy data in cloud
  • Copy on-premises data to cloud
  • Copy data in bulk
  • Copy data incrementally
  • Transform data in cloud
  • Transform data in virtual network
  • Add branching and chaining
  • Run SSIS packages in Azure
  • Load Data Lake Storage Gen2
  • Load SQL Data Warehouse
  • Load Data Lake Storage Gen1
  • Load SAP BW data
  • Load Office 365 data


  • Code samples
  • Azure PowerShell


  • Pipelines and activities
  • Linked services
  • Datasets
  • Pipeline execution and triggers
  • Integration runtime
  • Mapping Data Flows
  • Roles and permissions
  • Understanding pricing
  • Naming rules

How-to guides

  • Author
  • Connectors
  • Move data
  • Transform data
  • Control flow
  • Data flow transformations
  • Parameterize
  • Security
  • Monitor and manage
  • Create integration runtime
  • Run SSIS packages in Azure
  • Create triggers
  • Templates
  • Troubleshooting guide


  • Data migration for data lake & EDW


  • .NET
  • PowerShell
  • Resource Manager template
  • Python

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