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1- Azure Data Factory
 Introduction of ADF
 ETL/ELT
 Why ADF
 Creation of ADF from portal
Welcome in Prajapati Cloud Learning
1
Azure Data Factory
 Introduction:
Azure Data Factory is a cloud-based server-less data
integration service and data transformation.
 Easily construct ETL and ELT processes code-free in an
inbuilt environment or write your own code.
 You can lift & shift existing SSIS package's to azure cloud
and run them with fully compatibility in azure data
factory
Welcome in Prajapati Cloud Learning 2
Azure Data Factory
ETL:
Welcome in Prajapati Cloud Learning 3
Welcome in Prajapati Cloud Learning
4
Azure Data Factory
Welcome in Prajapati Cloud Learning 5
Azure Data Factory
Why:
 Job scheduling and orchestration: There is a shortage of services that trigger data
integration on the cloud. Although there are some services like Azure Scheduler,
Azure Automation, SQL VM, etc. available for data movement, the job scheduling
capabilities of Azure Data Factory are superior to them.
 Security: Every piece of data in transit between cloud and on-premises is always
automatically encrypted by Azure Data Factory.
 Continuous integration and delivery: The Azure Data Factory integration with
GitHub allows you to develop, build, and deploy to Azure effortlessly.
 Scalability: Azure Data Factory was designed to be capable of handling large
volumes of data.
Welcome in Prajapati Cloud Learning 6
Azure Data Factory
Creation of ADF from Azure Portal
Demo
https://portal.azure.com/
Welcome in Prajapati Cloud Learning 7
Thank You
Welcome in Prajapati Cloud Learning 8

More Related Content

1- Introduction of Azure data factory.pptx

  • 1. 1- Azure Data Factory  Introduction of ADF  ETL/ELT  Why ADF  Creation of ADF from portal Welcome in Prajapati Cloud Learning 1
  • 2. Azure Data Factory  Introduction: Azure Data Factory is a cloud-based server-less data integration service and data transformation.  Easily construct ETL and ELT processes code-free in an inbuilt environment or write your own code.  You can lift & shift existing SSIS package's to azure cloud and run them with fully compatibility in azure data factory Welcome in Prajapati Cloud Learning 2
  • 3. Azure Data Factory ETL: Welcome in Prajapati Cloud Learning 3
  • 4. Welcome in Prajapati Cloud Learning 4
  • 5. Azure Data Factory Welcome in Prajapati Cloud Learning 5
  • 6. Azure Data Factory Why:  Job scheduling and orchestration: There is a shortage of services that trigger data integration on the cloud. Although there are some services like Azure Scheduler, Azure Automation, SQL VM, etc. available for data movement, the job scheduling capabilities of Azure Data Factory are superior to them.  Security: Every piece of data in transit between cloud and on-premises is always automatically encrypted by Azure Data Factory.  Continuous integration and delivery: The Azure Data Factory integration with GitHub allows you to develop, build, and deploy to Azure effortlessly.  Scalability: Azure Data Factory was designed to be capable of handling large volumes of data. Welcome in Prajapati Cloud Learning 6
  • 7. Azure Data Factory Creation of ADF from Azure Portal Demo https://portal.azure.com/ Welcome in Prajapati Cloud Learning 7
  • 8. Thank You Welcome in Prajapati Cloud Learning 8