I have an on-premises data gateway service in Azure, which connects to an on-premises SQL Server (this is a standard Azure service, which can be configured).
When I am in the data gateway service in the Azure Portal, I can see that I can "Read and write data using logic apps" right off the bat.
How do I use my newly created on-premises SQL server gateway in Azure Data Factory? I have found some videos on how a gateway is set up, but this I have already done. I simply need to create a new data pipeline, where i make a COPY DATA activity, so I can copy data from this on-premises SQL server to a Cloud Azure SQL server using the gateway.
There is no such requirement to setup any kind of data gateway when accessing on-premises SQL Server using Azure Data Factory.
Azure Data Factory (ADF) makes it very easy to connect with on-premises SQL Server and copy the data to Cloud. You just simply need to create Self-hosted Integration Runtime (IR) in your local machine which will allow you to access the data. Refer this simple step-by-step official tutorial by Microsoft to Create and configure a self-hosted integration runtime.
Once your Self-hosted IR created, you just need to use ADF's Copy data tool and configure your source and destination settings. Use the self-hosted IR which you have created and run the pipeline.
Refer this detailed third-party tutorial to Copy data from On-premises data store to an Azure data store using Azure Data Factory. Easy step-by-step guidance is provided here.
Related
I have a requirement where a scheduler needs to be developed that would run once per day (preferably in .Net C# as console app), hosted on Azure. This scheduler will connect a Azure SQL DB, fetch data and post to an on-premise system. This system is some kind of application where it has REST web api available for posting data. I don't have experience in Azure and confused which service I should be using in Azure to host this scheduler and how it will connect to Azure SQL DB and then to the on-premise system via API.
I would say you can create that scheduler using Azure Logic Apps. You can create scheduler jobs using Azure Logic Apps workflows. Azure Logic Apps can connect to on-premises SQL Server data sources using a data gateway. It is possible to interact with workflows using REST API.
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 new to azure cloud infrastructure, I am trying to create a azure data factory, which I did now I am trying to create a linked service to another SaaS provider "salesforce". I am not seeing any place to create one.
I have consulted the following links, but could not find anything yet.
I cannot see management hub
https://learn.microsoft.com/en-us/azure/data-factory/author-management-hub
or in azure portal
https://learn.microsoft.com/en-us/azure/data-factory/concepts-linked-services
Thank you
Please ref this tutorial: Copy data from and to Salesforce by using Azure Data Factory
This article outlines how to use Copy Activity in Azure Data Factory
to copy data from and to Salesforce. It builds on the Copy Activity
overview article that presents a general overview of the copy
activity.
You could create the Salesforce linked service from here Data Factory UI on Portal:
Manage-->linked services-->new-->Salesforce:
Configure the Salesforce:
I have been tasked with finding out if/how the Azure FHIR API or the Azure FHIR Open Source can be used in conjunction with an enterprise service bus? however I have found little to no information about these two together?
Below template helps to deploy Microsoft Open Source FHIR Server , can be found in the below URL.
https://github.com/Microsoft/fhir-server/blob/master/docs/DefaultDeployment.md
This process creates the instances Cosmos DB, Azure Web App, and source code using an Azure Resource Manager template.
To integrate the Azure FHIR with service bus, we can quickly integrate a FHIR server into our own application using the above template and Azure enables to quickly ingest and manage FHIR datasets in the cloud to track and manage data.
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.