Integration runtime is the compute infrastructure in Azure Data Factory that enables data integration across different environments. There are three types: Azure-based runtime for managed compute, self-hosted runtime for on-premises integration, and Azure-SSIS runtime for running SQL Server Integration Services packages in Azure. Integration runtime provides capabilities like data movement between stores, activity dispatch to various compute services, and serving as the compute environment for data flows and SSIS packages.

1. 19- Azure Data Factory
 Integration Runtime in Azure Data Factory
 Type of Integration Runtime in ADF
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2. Azure Data Factory
Integration Runtime(IR):
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Integration runtime is the compute infrastructure used by Azure Data Factory (ADF) to
provide various data integration capabilities across different network environments.
Data Flow: Execute a Data Flow in a managed Azure compute environment.
Data movement: Copy data across data stores in a public or private networks (for both on-
premises or virtual private networks). The service provides support for built-in connectors,
format conversion, column mapping, and performant and scalable data transfer.
Activity dispatch: Dispatch and monitor transformation activities running on a variety of
compute services such as Azure Databricks, Azure HDInsight, ML Studio (classic), Azure SQL
Database, SQL Server, and more.
SSIS package execution: Natively execute SQL Server Integration Services (SSIS) packages
in a managed Azure compute environment.
https://learn.microsoft.com/en-us/azure/data-factory/concepts-integration-runtime

3. Azure Data Factory
Type of Integration Runtime:
Data Factory offers three types of Integration Runtime (IR).
 Azure
 Self-hosted
 Azure-SSIS
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