The document describes Azure Data Factory (ADF) as a fully-managed data integration service in the cloud that allows for hybrid data movement and orchestration of data pipelines wherever data lives. ADF enables connecting to various data sources, transforming and enriching data, and publishing data while meeting security and compliance needs. It provides integration runtimes including Azure, Azure-SSIS, and self-hosted to execute SQL Server Integration Services packages and provide data integration capabilities across cloud and on-premises environments.

1. January 2019

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10. Data orchestration As-a-service
Security and compliance
Fully-managed data integration service in the cloud
A Z U R E D ATA F A C T O R Y
Hybrid Data movement
Data integration
Flexible

11. Modernize your data warehouse with Azure
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Build custom data-driven SaaS applications
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Flexible
Data integration

12. Orchestrate your data pipeline wherever your
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Meet your security and compliance needs
while taking advantage of truly hybrid
integration capabilities
Execute your SQL Server Integration Services
(SSIS) packages in the cloud
Hybrid
Data orchestration

13. Accelerate integration with managed data
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Data movement
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14. HYBRID DATA INTEGRATION AT SCALE
Any BI tool
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Data Processing & MovementRelational data
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Social media DevicesWeb Media
CLOUD
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V-NET
AZURE DATA FACTORY ORCHESTRATES DATA PIPELINE ACTIVITY WORKFLOW & SCHEDULING

15. Azure Data Factory: How Does it Work?
Connect
& Collect
Transform
& Enrich
Publish Monitor

16. Azure Data Factory: Top-Level Concepts

17. Azure Data Factory: Top-Level Concepts

19. ADF Integration Runtime (IR) ▪ Integration Runtime is the compute
infrastructure used by ADF to provide data
integration capabilities such as:
▪ Activity dispatch & monitoring
▪ Data movement
▪ SSIS package execution
▪ Integration Runtime Types:
▪ Azure
▪ Azure-SSIS
▪ Self-Hosted
▪ IR provides a consistent provision and
monitoring experience across the network
environments
Portal Application & SDK
Azure Data Factory Service
Data Movement & Activity
Dispatch on-prem, Cloud,
VNET
Data Movement & Activity
Dispatch In Azure Public
Network, SSIS
VNET coming soon
Self-Hosted IR Azure IR

21. SSIS as an Integration Runtime
Execute/Manage
Provision
SSDT SSMS
Cloud
On-Premises
SSIS Server
Azure Data Factory V2
HDI
ML
 Provision SSIS IR via Data Factory
 Use SQL Server Data Tools (SSDT) to
author/deploy SSIS packages
 Use SQL Server Management Studio
(SSMS) to execute/manage SSIS
packages
 For those who want to move all/part
of their on-premises workloads and
“lift & shift” existing packages to Azure
SSIS IR on
ADF compute
resource

23. Branching Activities

24. Execute SSIS Packages Using Azure SSIS IR

26. Hybrid Data Integration Pattern 1
Analyze blog comments
Azure SQL Database
SQL Server
(on-premises)
Data Management
Gateway Req’d for ADF
Azure Data Factory
Capture blog comments via API
Drop into
Blob Store
Copy & lookup
Power BI Dashboard
Visualize and analyze
Transform via SPROC (ELT)
Transform via Dataflow (ETL)

27. Hybrid Data Integration Pattern 2
Data-Driven SaaS App: Sentiment Analysis w/Machine Learning
Azure Data Factory
Custom App
Blob Storage
Azure Functions

29. ADF Resources
Integration Runtime in Azure Data Factory
Provision the Azure-SSIS Integration Runtime in ADF
Create and Configure a Self-Hosted Integration Runtime
Azure Data Factory V2 Data Flow
Incremental/Delta Data Copy in ADF
Branching and Chaining Activities in an ADF Pipeline
Run an SSIS Package in ADF with the “Execute SSIS Package” Activity
Deploy an SSIS Package to an Azure SQL DB from SSMS
Azure Data Factory Pricing