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What is the anticipated length of time needed for the integration?

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The integration runtime of Azure Data Factory is the underlying computational architecture that enables the following data integration functionalities across a range of network topologies. These features can be accessed through the Azure portal.

Integration runtimes can be broken down into one of three categories:

  1. The Azure Integration Run Time makes it very easy to copy data from one cloud data store to another cloud data storage. The transformations can be handled by any one of a number of various computing services, such as Azure HDInsight or SQL Server.
  2. You have the option of employing a piece of software known as Self Hosted Integration Run Time rather than making use of Microsoft's Azure Integration Run Time. However, you must first install it on a host computer, either at your business or on a virtual server located in the cloud. Data can be replicated between an on-premises repository and a cloud-based repository using a self-hosted information repository. It is also able to delegate transformation jobs to several machines that are connected to an intranet. Because all of the on-primitive data sources are protected by a firewall, the Data factory won't be able to access any of them; therefore, we have no choice except to use Self-Hosted IR. If we configure the Azure firewall in a certain way, we can circumvent the need for a self-hosted IR in certain circumstances. This will enable a direct connection to be made between Azure and the data sources that are located on-premises.
  3. You will have the ability to natively execute SSIS packages in a managed environment if you use the Azure SSIS Integration Run Time. After that, the Azure SSIS Integration Run Time is utilized to transport the SSIS packages to the data factory.

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