Azure Data Studio Data Migration Process Explained

Azure Data Studio offers a simplified data migration process that streamlines the transfer of data between different databases.

You can use Azure Data Studio's built-in tools to connect to various database systems, including SQL Server, Azure SQL Database, and Oracle.

The process begins by selecting the source and target databases, which can be done through the "Connect to Database" option.

Data types, such as integers and strings, are automatically detected and converted during the migration process.

Azure Data Studio allows for the migration of large datasets, with no limit on the size of the data being transferred.

The tool also supports the migration of database objects, such as tables and stored procedures.

Azure Data Studio's data migration process is a powerful tool for transferring data between different databases.

Explore further: Azure Data Migration Assistant

To get started with Azure Data Studio data migration, you'll first need to meet some prerequisites. You'll need to download and install Azure Data Studio, which can be bundled with the latest versions of SQL Server Management Studio or downloaded independently.

The next step is to install the Azure SQL Migration extension from Azure Data Studio Marketplace. This will give you access to the necessary tools for migrating your database schema and data.

You'll also need an Azure account, which should be assigned to one of the built-in roles such as the SQL Server Contributor, SQL Security Administrator, or the Contributor role. Alternatively, you can assign a custom role.

To create a target instance of Azure SQL Database, simply follow the instructions provided by Azure. Make sure that the SQL Server login that connects to the source SQL Server instance is a member of the db_datareader role and that the login for the target SQL Server instance is a member of the db_owner role.

If you're using Azure Database Migration Service for the first time, make sure that the Microsoft.DataMigration resource provider is registered in your subscription. This will ensure that you have access to the necessary resources for migrating your database schema and data.

Here's a summary of the prerequisites:

By meeting these prerequisites, you'll be well on your way to successfully migrating your database schema and data using Azure Data Studio.

To install the Azure SQL migration extension in Azure Data Studio, you have two options: connected mode installation or offline mode.

You can install the extension in connected mode by opening the extensions manager in Azure Data Studio, typing in Azure SQL Migration in the search bar, and selecting Install. This will add the extension to the extension list, allowing you to connect to the SQL Server instance and access the Azure SQL Migration extension landing page.

Alternatively, if you're working on a disconnected computer, you'll need to download the installation files manually. This involves downloading Azure Data Studio, the Azure SQL migration extension VSIX file, and the SQL tool service binaries on a machine connected to the Internet, and then copying the files to the disconnected machine.

To get started with the offline installation, you'll need to download Azure Data Studio for the disconnected machine, and then download the latest Azure SQL migration extension VSIX file from the specified location.

A different take: Data Warehouse to Data Lake Migration

Installing the Azure SQL migration extension in Azure Data Studio is a straightforward process. You can choose between connected mode installation and offline mode installation, depending on your internet connection.

To install the extension in connected mode, open the extensions manager in Azure Data Studio and search for "Azure SQL Migration" in the search bar. Select the extension and click on "Install" to begin the installation process.

The installation process involves a few simple steps: open the extensions manager, search for "Azure SQL Migration", select the extension, and click on "Install". You can see the Azure SQL migration extension in the extension list once installed.

In offline mode, you need to download the Azure SQL migration extension VSIX file and the SQL tool service binaries on a machine connected to the internet. You can download Azure Data Studio for the disconnected machine from the official website.

Here are the steps to download the necessary files:

Once you have downloaded the files, you can install them on the disconnected machine by copying them to the machine and installing Azure Data Studio.

To create a Database Migration Service instance, you can either create a new one or reuse an existing one. If you created the instance earlier using Azure Data Studio, you can reuse it in the migration wizard.

To create a new instance, you'll need to create a new resource group to contain it. This is a straightforward process that involves selecting the "Create new" option under Azure Database Migration Service.

You'll then need to enter a name for your Database Migration Service instance and select "Create". After that, you'll need to set up integration runtime, which involves testing the connection to the newly registered self-hosted integration runtime.

Here are the steps to create a new instance of Database Migration Service:

In Step 3 of the Migrate to Azure SQL wizard, you need to configure the migration settings for your target Azure SQL Database instance.

To do this, select Offline migration in Step 4: Migration mode and then click Next. If no tables are selected or if a username and password aren't entered, the Next button won't be available.

You can review your table selections in the Data source configuration step. If everything looks good, select Next to move to the next step in the migration wizard.

The Database Migration Service allows you to migrate both database schema and data. Alternatively, you can use tools like the SQL Server dacpac extension or the SQL Database Projects extension in Azure Data Studio to migrate schema before selecting the list of tables to migrate.

Related reading: Migrate Data to Azure

The migration process in Azure Data Studio is quite straightforward. You start by choosing the Azure account under which the migration will run, either by linking a new account or selecting an existing one already linked to Azure Data Studio.

To begin the migration, you need to choose the database or databases you want to migrate. This is done in step two of the migration wizard.

The assessment process uses the Microsoft.SqlServer.TransactSql.ScriptDom namespace to determine which Azure SQL target is available for migration.

You can run your migration online (for migrations that require minimal downtime) or offline (for migrations where downtime persists throughout the migration) depending on your business requirements.

In step seven of the migration wizard, you'll find a summary of the migration. Choose "Done" in the lower right corner to begin the migration.

Here's a step-by-step breakdown of the migration process:

The Database Migration Status section of the Azure SQL Migration tab will indicate the number of migrations that are in progress. You can choose "Database migration in progress" to view migration details on the Migration Status screen.

Once cutover is completed, the Migration Status will indicate "Succeeded". The Database Migration Status section on the Azure SQL Migration screen will also update accordingly.

In Azure Data Studio, a self-hosted integration runtime is recommended for database migrations, especially when dealing with multiple source SQL Server databases. Use a single self-hosted integration runtime for multiple source SQL Server databases.

Consider reading: Azure Data Studio Connect to Azure Sql

To optimize performance, install only one instance of a self-hosted integration runtime on any single computer. This will help prevent resource conflicts and ensure a smooth migration process.

Here are some key considerations for implementing a self-hosted integration runtime:

To scale out your self-hosted runtime, consider up to four nodes or create separate instances on different computers to increase the number of concurrent database migrations.

The architecture of a system is crucial for its integration. It's like building a house, you need a solid foundation to support the entire structure.

The architecture of a system typically consists of a combination of hardware and software components. These components work together to provide the necessary functionality and performance.

In a typical system architecture, the hardware components include the central processing unit (CPU), memory, and storage devices. The CPU executes instructions, memory stores data, and storage devices hold the operating system and applications.

If this caught your attention, see: Azure Data Architect

The software components include the operating system, application software, and middleware. The operating system manages the hardware resources, application software provides the functionality, and middleware acts as a bridge between the operating system and application software.

A well-designed system architecture can improve the overall performance, scalability, and maintainability of the system. It's essential to consider the system's requirements, constraints, and goals when designing the architecture.

A good system architecture should be modular, flexible, and adaptable to changing requirements. This allows for easier maintenance, upgrades, and integration with other systems.

In some systems, the architecture may also include a network component, which enables communication between different components and systems. This is particularly important in distributed systems, where components are located on different machines or in different locations.

Expand your knowledge: Azure Data Factory Architecture

When you're planning to use a self-hosted integration runtime for database migrations, here are some key recommendations to keep in mind.

Use a single self-hosted integration runtime for multiple source SQL Server databases. This helps simplify the process and reduces the administrative overhead.

The self-hosted integration runtime uses resources like memory and CPU on the computer it's installed on, so it's essential to install it on a separate computer from your source SQL Server instance.

Having the self-hosted integration runtime close to the data source reduces the time it takes for the self-hosted integration runtime to connect to the data source.

If your source database backups are already in the storage blob container, you don't need a self-hosted integration runtime for database migrations.

The recommended limit for concurrent database migrations per self-hosted integration runtime on a single computer is 10.

To increase the number of concurrent database migrations, you can either scale out the self-hosted runtime to up to four nodes or create separate instances of the self-hosted integration runtime on different computers.

It's a good idea to configure the self-hosted integration runtime to auto-update and automatically apply any new features, bug fixes, and enhancements that are released.

Here are the key recommendations in a concise list:

Azure Data Studio provides a robust feature to migrate data from one database to another, but sometimes you may encounter issues during the process. If the migration fails due to a mismatch in database versions, try upgrading the destination database to the same version as the source database.

A common error during data migration is a timeout due to large data volumes. To resolve this, you can increase the timeout period or break the migration into smaller chunks.

However, if the issue persists, verify that the source and destination databases are properly configured and connected. Ensure that the required permissions are granted to the Azure Data Studio user account.

To monitor database migration progress, you can use the Azure portal.

In the Azure portal, search for your instance of Database Migration Service by using the resource name. This will help you locate the specific migration you want to track.

To view the details of your database migrations, select Monitor migrations in the Database Migration Service instance overview. This will give you a clear picture of the migration progress.

Database Migration Service has its share of limitations that can impact your migration process. Here are some key issues to be aware of:

Database Migration Service doesn't support overwriting existing databases in your target instance of Azure SQL Managed Instance, Azure SQL Database, or SQL Server on Azure Virtual Machines.

You can't use an existing self-hosted integration runtime that was created in Azure Data Factory for database migrations with Database Migration Service. You'll need to create a new one using the Azure SQL Migration extension for Azure Data Studio.

If you're using SQL Server 2014 or SQL Server 2012, you'll need to store your source database backup files in an Azure storage blob container instead of using a network share. This is because page blobs are required, and block blobs are only supported in SQL Server 2016 and later versions.

Database Migration Service also has limitations when it comes to server objects. For a complete list of metadata and server objects that you need to move, refer to the detailed information available in Manage Metadata When Making a Database Available on Another Server.

Recommended read: Azure Data Sharing

Here are some specific server objects that aren't supported:

Lastly, keep in mind that migration speed heavily depends on the target Azure SQL Database SKU and the self-hosted Integration Runtime host.

Azure Database Migration Service is free to use with the Azure SQL Migration extension for Azure Data Studio, allowing you to migrate multiple SQL Server databases at no charge.

No data movement or data ingress costs are assessed when you migrate your databases from an on-premises environment to Azure, making the process even more cost-effective.

However, you might incur bandwidth charges depending on your bandwidth provider and routing scenario if the source database is moved from another region or from an Azure virtual machine.

To take advantage of this free service, you'll need to use a virtual machine or an on-premises server to install Azure Data Studio.

A self-hosted integration runtime is also required to access database backups from your on-premises network share.

Check this out: Is Azure Data Studio Free

Here are the key facts to keep in mind:

Azure Database Migration Service is free to use with the Azure SQL Migration extension for Azure Data Studio, allowing you to migrate multiple SQL Server databases at no charge.

No data movement or data ingress costs are assessed when you migrate your databases from an on-premises environment to Azure. This is a significant cost savings, especially for large databases.

If the source database is moved from another region or from an Azure virtual machine, you might incur bandwidth charges depending on your bandwidth provider and routing scenario.

To use Azure Data Studio, you'll need to install it on a virtual machine or an on-premises server. This might require some technical expertise, but it's a one-time setup process.

A self-hosted integration runtime is required to access database backups from your on-premises network share. This ensures secure and reliable access to your data.

Azure Database Migration Service is available in various regions, but it's essential to check which ones support database migrations.

You can find the list of supported regions on the Azure website under "Azure products available by region."

It's free to use Azure Database Migration Service with the Azure SQL Migration extension for Azure Data Studio, but you should check the pricing details to understand any potential costs associated with data movement or bandwidth charges.