Recover Deleted Key Vault in Azure
Have you accidentally deleted Key Vault from the resource group? In this article, we will see how to recover deleted key vault in Azure using the Azure Az PowerShell cmdlet.
Have you accidentally deleted Key Vault from the resource group? In this article, we will see how to recover deleted key vault in Azure using the Azure Az PowerShell cmdlet.
Azure Data Studio is an open-source data management tool that enables working with SQL Server, Azure SQL DB, and Azure Synapse from Windows, macOS, and Linux. It is a one-stop shop to query, design, and manage your databases and data warehouses, on-premise or in the cloud. In this article, we will see 5 most interesting features of Azure Data Studio for SQL developers.
Learn how to create and manage Databricks secret scopes, compare Databricks-backed and Azure Key Vault-backed scopes, configure permissions, access secrets, and delete scopes.
Learn how to access Azure Data Lake Storage in Databricks using Unity Catalog, and understand the legacy DBFS mount and unmount approach.
Learn how to run a Databricks notebook from another notebook using %run and dbutils.notebook.run(), pass parameters, return values, and execute notebooks sequentially or in parallel.
Azure Data Factory uses Integration Runtimes as a compute infrastructure to execute data movement and data transformation activities. This article describes how to set up Azure Data Factory Shared Integration Runtime.
Learn how to securely use Azure Key Vault secrets in Azure Data Factory with managed identity, Azure RBAC, linked services, secret versioning, and pipeline activities.
Learn how to get the current local date and time in Azure SQL Database using AT TIME ZONE, convert UTC timestamps, and work with Windows time zone IDs.
Microsoft has enabled support for accessing Microsoft Graph API from Azure data factory. In this article, we will see how to call Graph API from Azure data factory using the managed identity.
Learn how to export and import Azure Data Factory ARM templates between environments, customize parameters, deploy with PowerShell, and automate the process with Azure DevOps.