Data Factory management resources are constructed using the entire array of security features that Azure has to offer. You can build one or more data pipelines when using an azure data factory integration runtime . A pipeline is a logical collection of procedures that work together to complete a task. The location where the data factory was built houses these pipelines. The data movement service is offered globally to guarantee data compliance, efficiency, and lower network egress costs even though Data Factory is only offered in a few countries. Discover more on aods.info
1. Azure Data Factory Integration Runtime: How Do Integration Runtimes Work?
The computational architecture that azure data factory integration runtime uses to offer data integration features like Data Flows and Data Movement is known as an Integration Runtime (IR). Either public networks or hybrid networks (public and private networks) are accessible to it.
Three different varieties are available.
Microsoft overseesazure data factory integration runtime . The underlying infrastructure’s patching, scaling, and maintenance are all taken care of. Only public networks’ services and data repositories are accessible to the IR.
Self-hosted Integration Runtimes make use of hardware and infrastructure that you control. You must take care of all the scaling, patching, and maintenance. Both public and private networks are accessible to the IR.
SSIS-Azure Integration Runtimes are virtual machines that are powered by the SSIS engine and enable native SSIS package execution. Microsoft oversees their operation. All patching, scaling, and maintenance are thus handled. Both public and private networks are accessible to the IR.
2. Azure Data Factory Integration Runtime: Scenarios For Integration At Runtime
A connection to Azure resources (Azure SQL, Azure Synapse Analytics, and Storage Accounts) can be made without any problems because to an integration Runtime that Azure automatically provisions.
Data integration can be safely carried out away from the public cloud environment, on a private network. Installing a self-hosted IR inside your virtual private network is required for that. Only outbound connections based on HTTP are made by the self-hosted integration runtime to the public internet.
Additionally, a secure on-premises environment allows for data integration. Installing a Self-hosted IR in your on-premises environment behind your company’s firewall is required for that.By creating an Azure-SSIS Integration Runtime and an Integration Services Catalog in the Azure SQL Database where the packages are kept, you can natively execute SSIS packages. During an ADF pipeline run, commands are sent to the Azure SSIS IR, which then executes the SSIS packages.
Keep encrypted login information in a managed storage with Azure Data Factory. Your data store credentials are encrypted by Data Factory using Microsoft-managed certificates to help safeguard them. Every two years, these certificates are rotated (which includes credential migration and certificate renewal). See Azure Storage security overview for additional details on security for Azure Storage. Save login information in Azure Key Vault. The data store’s credentials can also be kept in Azure Key Vault. The credentials are retrieved by Data Factory while an activity is being performed. See Store credential in Azure Key Vault for additional details.
3. Azure Data Factory Integration Runtime: Do Integration Runtimes Offer Security?
- Data Store Access Codes
Data Factory has the option of storing on-premise data store credentials or referencing them via Key Vault at runtime. When credentials are stored in Data Factory, they are always encrypted and stored on the Self-hosted IR machine. You have the option of either streaming credentials through the Azure backend service to the self-hosted IR machine or not when storing credentials locally. Both solutions enable safe encryption.
- Transient Encryption
To protect against man-in-the-middle attacks when communicating with Azure services, all data transfers take place over secure channels using HTTPS and TLS over TCP. The communication link between your on-premises network and azure data factory integration runtime can also be made more secure by using IPSec VPN or Azure ExpressRoute.
Storing application secrets centrally in azure data factory integration runtime, you may manage their distribution using Key Vault. Secrets being mistakenly revealed is significantly less likely with Key Vault. The connection string can be safely stored in Key Vault rather than being included in the app’s source code. Your applications can use URIs to safely retrieve the data they require. Applications can access specific versions of a secret by using these URIs. None of the sensitive data kept in Key Vault has to be protected by special programming.
The azure data factory integration runtime, also referred to as IR, is responsible for allocating computer resources for data transfer activities and for dispatching such actions. The brain of the Azure Data Factory is the integration runtime. The pipeline in Azure Data Factory is made up of activities. An activity is a representation of a necessary action. This activity might involve a data transmission that required some processing or it might involve a dispatch. The location where this action can be carried out is provided by integration runtime.
