Use the existing resource group (or create a new one).Search for and select "Data Factory" and click "Create". In the Azure Portal, click "Create a resource". With the Azure SQL Server and resource created, we can now create our Azure Data Factory.
Name the server and create a new admin login and password.Log in to the Azure portal and click "Create a resource." Search for and choose "SQL Server (logical server)" and click Create. To deploy an SSIS project to Azure Data Factory, we need to first create an Azure SQL Server and resource group. Create an Azure SQL Server and Resource Group Use Azure Data Factory to manage and execute a deployed projectĮach of these steps is described below.Create an SSIS Project to Replicate Enterprise Data to Azure SQL.(Optional) Create an Azure SQL Database.Create and Start an Azure Integration Runtime.Create an Azure SQL Server and Azure Resource Group.The overview of the process is as follows:
More information on Azure Subscriptions is available from Microsoft. Azure Subscription - This can be managed in the Azure Portal.The deployment of SSIS Projects requires the following: In this article, we walk through the steps for creating an SSIS Project to replicate NetSuite data to an Azure SQL database and deploying the project to Azure Data Factory, providing an entirely cloud-based replication service. With the release of Azure Data Factory V2 Integration Runtimes (ADFv2 IR), deployment to the Azure cloud is now possible for SSIS projects that use 3rd party components. Moving on-premises SSIS workloads to Azure can reduce the operational costs of managing infrastructure, increase availability with the ability to specify multiple nodes per cluster and deliver rapid scalability. Azure Data Factory (ADF) is a scalable, trusted cloud-based solution for building automated data integration solutions with a visual, drag-and-drop UI.