Azure data studio download

Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Install Python in an offline Windows environment Article02/06/2025 In this article -->This tutorial demonstrates how to install and use the Python kernel in an offline Windows environment with notebooks.PrerequisitesAzure Data Studio installedDownload Python and dependenciesOn a machine that has internet access, download the latest Azure Data Studio Python package. Unzip the file into a local directory (for example: C:\azuredatastudio-python).NoteThe latest Azure Data Studio Python version is 3.8.10.In a terminal, navigate to the Python directory.cd C:\azuredatastudio-pythonCreate a text file named requirements.txt with the following contents.pandas>=0.24.2jupyter>=1.0.0sparkmagic>=0.12.9powershell-kernel>=0.1.3Create a sub directory named wheelhouse.mkdir wheelhouseRun the following command to download the required dependencies to the sub directory.python.exe -m pip download -r requirements.txt -d wheelhouseNoteCheck to make sure you have the latest pip version installed.If you aren't sure, you can upgrade it by running the following command: C:\azuredatastudio-python\python.exe -m pip install --upgrade pip.Install Python on a machine that doesn't have internet accessOn a machine that doesn't have internet access, copy the Python folder to a local directory (for example: C:\azuredatastudio-python).In a terminal, navigate to the Python folder.cd C:\azuredatastudio-pythonRun the following to install the dependencies.python.exe -m pip install -r requirements.txt --no-index --find-links wheelhouseUse the Python Installation in Azure Data StudioOpen Azure Data StudioFrom the Command Palette, search for Configure Python for Notebooks.In the Configure Python for Notebooks wizard, select Use existing Python installation, and browse to the installed Python location (for example: C:\azuredatastudio-python).Once the wizard is completed, open a new notebook and change the kernel to Python.Related contentPython in Azure Data Studio --> Feedback Additional resources In this article

17.10 or later on your Arm64 device.In the installer, select the Individual components tab and search for SQL Server Data Tools.Select SQL Server Data Tools and then choose Modify.Install extensions for Analysis Services, Integration Services, and Reporting ServicesFor Analysis Services (SSAS), Integration Services (SSIS), or Reporting Services (SSRS) projects, you can install the appropriate extensions from within Visual Studio with Extensions > Manage Extensions or from the Marketplace.Extensions for Visual Studio 2022Analysis ServicesIntegration ServicesReporting ServicesExtensions for Visual Studio 2019Analysis ServicesIntegration ServicesReporting ServicesSupported SQL versionsSupported SQL versions in Visual Studio 2022Project TemplatesSQL Platforms SupportedRelational databasesSQL Server 2016 (13.x) - SQL Server 2022 (16.x)Azure SQL Database, Azure SQL Managed InstanceAzure Synapse Analytics Dedicated Pools Azure Synapse Analytics Serverless Pools (requires VS2022 17.7 see the release notes)Warehouse in Microsoft Fabric (requires VS2022 17.12)SQL database in Microsoft Fabric (requires VS2022 17.12)Analysis Services modelsReporting Services reportsSQL Server 2016 - SQL Server 2022Integration Services packagesSQL Server 2019 - SQL Server 2022Supported SQL versions in Visual Studio 2019Project TemplatesSQL Platforms SupportedRelational databasesSQL Server 2012 - SQL Server 2019Azure SQL Database, Azure SQL Managed InstanceAzure Synapse Analytics (dedicated pools only)Analysis Services modelsReporting Services reportsSQL Server 2008 - SQL Server 2019Integration Services packagesSQL Server 2012 - SQL Server 2022Offline installationFor scenarios where offline installation is required, such as low bandwidth or isolated networks, SSDT is available for offline installation. Two approaches are available:For a single machine, Download All, then installFor installation on one or more machines, use the Visual Studio bootstrapper from the command lineFor more details, you can follow the Step-by-Step Guidelines for Offline InstallationLicense terms for Visual StudioTo understand the license terms and use cases for Visual Studio, refer to Visual Studio License Directory. For example, if you're using the Community Edition of Visual Studio for SQL Server Data Tools, review the end user licensing agreement (EULA) for that specific edition of Visual Studio in the Visual Studio License Directory.Previous versionsTo download and install SSDT for Visual Studio 2017, or an older version of SSDT, see Previous releases of SQL Server Data Tools (SSDT and SSDT-BI).See alsoSSDT Team BlogDACFx API ReferenceDownload SQL Server Management Studio (SSMS)SQL projects in Azure Data Studio and VS CodeNext stepsAfter installation of SSDT, work through these tutorials to learn how to create databases, packages, data models, and reports using SSDT.Project-Oriented Offline Database DevelopmentSSIS Tutorial: Create a Simple ETL PackageAnalysis Services tutorialsCreate a Basic Table Report (SSRS Tutorial) Get helpIdeas for SQL: Have

An Azure storage account, you incur costs for the storage resources that your diagnostic data uses.Store diagnostic dataLog data is stored in either Blob or Table storage with the following names:TablesWadLogsTable - Logs written in code using the trace listener.WADDiagnosticInfrastructureLogsTable - Diagnostic monitor and configuration changes.WADDirectoriesTable – Directories that the diagnostic monitor is monitoring. These directories include IIS logs, IIS failed request logs, and custom directories. The location of the blob log file is specified in the Container field and the name of the blob is in the RelativePath field. The AbsolutePath field indicates the location and name of the file as it existed on the Azure virtual machine.WADPerformanceCountersTable – Performance counters.WADWindowsEventLogsTable – Windows Event logs.Blobswad-control-container – (Only for SDK 2.4 and previous) Contains the XML configuration files that control the Azure diagnostics.wad-iis-failedreqlogfiles – Contains information from IIS Failed Request logs.wad-iis-logfiles – Contains information about IIS logs."custom" – A custom container based on configuring directories that are monitored by the diagnostic monitor. WADDirectoriesTable specifies the name of this blob container.Several tools are available to view the data after it transfers to storage. For example:Server Explorer in Visual Studio - If you installed the Azure Tools for Microsoft Visual Studio, you can use the Azure Storage node in Server Explorer to view read-only blob and table data from your Azure storage accounts. You can display data from your local storage emulator account and also from storage accounts you created for Azure. For more information, see Browsing and Managing Storage Resources with Server Explorer.Microsoft Azure Storage Explorer is a standalone app that enables you to easily work with Azure Storage data on Windows, OSX, and Linux.Azure Management Studio includes Azure Diagnostics Manager, which allows you to view, download, and manage the diagnostics data collected by the applications running on Azure.Next StepsTrace the

Linux, change the Windows filesystem path to Linux, and then run the following Transact-SQL (T-SQL) command:USE [master];GORESTORE DATABASE [AdventureWorks2022]FROM DISK = '/var/opt/mssql/backup/AdventureWorks2022.bak'WITH MOVE 'AdventureWorks2022' TO '/var/opt/mssql/data/AdventureWorks2022_Data.mdf', MOVE 'AdventureWorks2022_log' TO '/var/opt/mssql/data/AdventureWorks2022_log.ldf', FILE = 1, NOUNLOAD, STATS = 5;GOIf you're not familiar using Azure Data Studio Studio, see connect & query to get started.To restore your database in Azure Data Studio, follow these steps:Download the appropriate .bak file from one of links provided in the download backup files section.Move the .bak file to your SQL Server backup location. This location varies depending on your installation location, instance name, and version of SQL Server. For example, the default location for a default instance of SQL Server 2022 (16.x) is:C:\Program Files\Microsoft SQL Server\MSSQL16.MSSQLSERVER\MSSQL\BackupOpen Azure Data Studio and connect to your SQL Server instance.Right-click on your server and select Manage.Select RestoreOn the General tab, fill in the values listed under Source.Under Restore from, select Backup file.Under Backup file path, select the location you stored the .bak file.This step autopopulates the rest of the fields such as Database, Target database and Restore to.Select Restore to restore your database.Deploy to Azure SQL DatabaseYou have two options to view sample Azure SQL Database data. You can use a sample when you create a new database, or you can deploy a database from SQL Server directly to Azure using SSMS.To get sample data for Azure SQL Managed Instance instead, see restore World Wide Importers to SQL Managed Instance.Deploy new sample databaseWhen you create a new database in Azure SQL Database, you can create a blank database, restore from a backup, or select sample data to populate your new database.Follow these steps to add a sample data to your new database:Connect to your Azure portal.Select Create a resource in the top left of the navigation pane.Select Databases and then select SQL Database.Fill in the requested information to create your database.On the Additional settings tab, choose Sample as the existing data under Data source:Select Create to create your new SQL Database, which is the restored copy of the AdventureWorksLT database.Deploy database from SQL ServerSSMS allows you to deploy a database directly to Azure SQL Database. This method doesn't currently provide data validation so is intended for development and testing and shouldn't be used for production.To deploy a sample database from SQL Server to Azure SQL Database, follow these steps:Connect to your SQL Server in SSMS.If you haven't already done so, restore the sample database to SQL Server.Right-click your restored database in Object Explorer > Tasks > Deploy Database to Microsoft Azure SQL Database....Follow the wizard to connect to Azure SQL Database and deploy your database.Creation scriptsInstead of restoring a database, alternatively, you can use scripts to create the AdventureWorks databases regardless of version.The below scripts can be used to create the entire AdventureWorks database:AdventureWorks OLTP Scripts ZipAdventureWorks DW Scripts ZipAdditional information about using the scripts can be found on GitHub.Related contentDatabase Engine TutorialsQuickstart: Connect and query a SQL Server instance using SQL Server Management Studio (SSMS)Quickstart: Use Azure Data Studio to