I have successfully created a runtime in DataFactory and have stuff running.
When I go to create another runtime in Azure Purview, it prompts to remove or repair which results in the lose of the ADF one. How can I utilise the same runtime on multiple services.?
I came across this documentation which details how I can create shared runtime but only within the ADF.
Did I miss something? Given that runtime is defined as The Microsoft Integration Runtime is a customer managed data integration and scanning infrastructure used by Azure Data Factory, Azure Synapse Analytics and Azure Purview to provide data integration and scanning capabilities across different network environments. Shouldn't it be cross service detectable?
Looks you could not use the same runtime with DataFactory and Azure Purview.
From the doc - Known limitations of self-hosted IR sharing:
The sharing feature works only for data factories within the same Azure AD tenant.
From the Note in this Azure Purview doc:
The Purview Integration Runtime cannot be shared with an Azure Synapse Analytics or Azure Data Factory Integration Runtime on the same machine. It needs to be installed on a separated machine.
Related
In Azure Data Factory it is possible to create 3 types of Integration Runtimes using the Portal:
Azure
Azure-SSIS
Self-hosted
But looking at Terraform documentation site for the AzureRM provider it is only possible to create an Azure-SSIS (azurerm_data_factory_integration_runtime_managed) and self-hosted (azurerm_data_factory_integration_runtime_self_hosted).
Have anyone successfully created a default Azure IR connected to a virtual network as specified in https://learn.microsoft.com/en-us/azure/data-factory/managed-virtual-network-private-endpoint using Terraform?
No, not really, unfortunately AzureRM provider doesn't allow it yet.
Also it can't be done using Azure CLI for Data Factory or similar.
Main reason may be the public-preview of Azure Data Factory Managed Virtual Network.
What is new though (and part of the solution) is public_network_enabled property on ADF, you still have to define private endpoint, but that's one step forward.
By default if you are not specifying the Integration runtime resource of data factory from terraform, it picks the Azure (Auto resolve) Runtime by default.
We currently have an Azure DevOps 2019 on-premises instance and have provisioned a new organisation on dev.azure.com. We are looking at integrating our on-premises Dashboards with dev.azure.com so that we can get a holistic view across both instances. Does anyone know if this can be done?
You can try migrating your collection data from on-premises server to azure devops cloud service. Then you can reconfigure your dashboards to include data migrated from the on-premises server.
There are migration tools you can use. Check out Azure DevOps Migration Tools
You can also check the the data migration tool provided by Microsoft. But it seems here that it only allow to migrate the on-premises collections to an empty new organization on azure devops services. See document here for more information.
I am following this tutorial https://learn.microsoft.com/en-us/azure/data-factory/tutorial-copy-data-dot-net
to develop C# .NET based console application for ETL solution using Azure Data Factory.
It covers Azure Active Directory Application and Azure Batch Service is not mentioned. But this tutorial https://learn.microsoft.com/en-us/azure/data-factory/transform-data-using-dotnet-custom-activity covers Azure Batch Service
Both Azure Active Directory and Azure Batch Service are completely new to me.
I need to know whether I need both for my ETL Solution or not
My Application Architecture
I already have a working SQL Server integrating , Analyzing and reporting applications deployed on my on-premise server. Now I am planning to deploy the same reporting application into Azure cloud. I am planning to move this application to cloud.
My Exploration
When I am exploring I found the data factory for data integration and transform services and later can publish to any BI tools. I was reading the data factory documentations from the following link,
https://learn.microsoft.com/en-us/azure/data-factory/introduction
From here I understood that I can use Azure data factory and I can perform data integration and transforming using Connect And collect stage , Transform Enrich and publish stages. And Also we can use BI tools after publishing this.
Related with moving from on-premise to Azure Cloud, I had felt some confusions. I am adding below
My Confusion
Without using Azure's Data factory service , Is possible deploy my all service packages (SSIS/SSRS/SSAS) in my own Azure VM infrastructure like what I did in on-premise machine ?
Without using Azure's Data factory service, Is possible deploy my all
service packages (SSIS/SSRS/SSAS) in my own Azure VM infrastructure
like what I did in on-premise machine ?
Yes, you can install all the service packages in your Azure VM when you create the VM. See this description:
Azure virtual machines allow you to deploy a wide range of computing
solutions in an agile way. You can deploy virtually any workload and
any language on nearly any operating system - Windows, Linux, or a
custom created one from any one of the growing list of partners.
You can just treat the virtual machine in Azure as your machine on-premise. The difference is you cannot care about the hardware and Azure will maintain it for you. You can also control the permission of your VM with the Azure Service Principal. See more details about the Azure VM.
I created the ARM templates for Azure Web App, Azure SQL Database, Key vault and Azure Storage. And deployed these ARM templates in to azure using Azure DevOps process CI and CD.
But I want to enforce policies as part of the development process. I know Microsoft released the feature of Azure Policy integration with Azure DevOps is now available. But I don’t know how to integrate policies with Azure DevOps.
Can anyone suggest me or provide any useful documentation?
After creating and assigning policies, they are automatically evaluated on every template deployment. If there is an attempt to deploy a template that violates a policy with a deny effect, you can see this in Azure DevOps:
Edit: How to use steps for creating and assigning policies and finding the output can be found on the docs: https://learn.microsoft.com/en-us/azure/devops/pipelines/release/azure-policy?view=azure-devops. Also, you can now evaluate Azure Policies via an Release Gate. See: https://learn.microsoft.com/en-us/azure/devops/pipelines/tasks/deploy/azure-policy-check-gate?view=azure-devops
Azure Pipelines has Policy gates that can also be used to check if the underlying resources/resource group/subscription is compliant before proceeding.
You can find details here.