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Azure Data Factory: Monitor Self Hosted Integration Runtime Metrics

Self-hosted integration runtime in the context of Azure data factory is a gateway that connects the on-prem data sources to datastores in the cloud. To know more about Integration runtimes, please refer to the previous post. We have discussed how to check whether Integration Runtime is online or offline using PowerShell command in a previousContinue reading “Azure Data Factory: Monitor Self Hosted Integration Runtime Metrics”

Azure Data Factory: How to edit default parameter definition for ARM templates?

ARM or Azure Resource Manager templates make it easy to manage deployments for Data Factory. When we connect Data Factory to a source control repository (e.g. GitHub or Azure DevOps Git), the data factory along with all its artefacts (pipelines, datasets, linked services etc.) is saved in the repository in the form of ARM templates.Continue reading “Azure Data Factory: How to edit default parameter definition for ARM templates?”

Azure Data Factory: Stored Procedure Activity

When it comes to transforming structured data, (e.g., applying business logic, standardization etc.) stored in a database, SQL is the most convenient and fit-to-purpose option.  Stored procedures provide a way to store the transformation logic as a set of SQL statements that can be re-executed as pre-compiled code. The Stored Procedure Activity in Data FactoryContinue reading “Azure Data Factory: Stored Procedure Activity”

Azure Data Factory Linked Service: Advanced Authoring

We have discussed Linked Service parameterization through the UI, in a previous post. But not all Linked Service Types support parametrization using the UI.  In this post, we will discuss the Linked Services that can’t be parameterized using the UI. (i.e., they don’t have any option to add parameter). If you are familiar with AzureContinue reading “Azure Data Factory Linked Service: Advanced Authoring”

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