There is a new requirement for setting up Azure Data Factory.
You are assigned with the task to find the ideal Integration runtime option for this requirement.
The major consideration points are as follows.
-> Public and Private network support for Data Flow and Data Movement -> Ability to run copy activities between cloud data stores Can you use Self-hosted Integration Runtime (SHIR)?
Click on the arrows to vote for the correct answer
A. B.Correct Answer: B.
There are currently three types of Integration Runtime for Azure Data Factory.
They have different capabilities and network support.
Public and Private network support for Data Movement is available for both SHIR and Azure integration runtime.
But in case of data flow, it is available only for Azure runtime.
The ability to copy between cloud stores is available for both.
Yes, Self-hosted Integration Runtime (SHIR) can be used for the given requirement. Here is the detailed explanation:
Azure Data Factory (ADF) is a cloud-based data integration service that allows you to create, schedule, and orchestrate data workflows in a scalable manner. It provides various types of integration runtime options that can be used to connect to data sources and destinations, and move data between them. These integration runtime options include Azure Integration Runtime, Self-hosted Integration Runtime (SHIR), and Azure-SSIS Integration Runtime.
In the given requirement, there are two major considerations that need to be addressed while selecting the integration runtime option. The first consideration is the support for public and private network for Data Flow and Data Movement. The second consideration is the ability to run copy activities between cloud data stores.
Self-hosted Integration Runtime (SHIR) is an integration runtime option in ADF that can be used to connect to on-premises data sources and destinations, as well as to other cloud data stores such as Amazon S3, Google Cloud Storage, and others. SHIR can be installed on a virtual machine or a cluster of virtual machines that are hosted on-premises or in a virtual private network ( VPN). SHIR provides support for public and private networks for Data Flow and Data Movement by leveraging the network connectivity of the virtual machine or the cluster.
Moreover, SHIR can run copy activities between cloud data stores using its built-in connectors. For example, you can use SHIR to copy data from Azure Blob Storage to Amazon S3 or vice versa. You can also use SHIR to copy data between different regions of the same cloud data store, such as Azure Blob Storage in different regions.
In conclusion, based on the given requirements, Self-hosted Integration Runtime (SHIR) is a suitable integration runtime option that can be used to address the considerations of public and private network support for Data Flow and Data Movement, as well as the ability to run copy activities between cloud data stores.