Schema Conversion Tool on Azure for Seamless Database Migration

Azure provides a schema conversion tool that simplifies database migration by automatically converting database schema between different database management systems.

This tool reduces manual effort and minimizes the risk of human error, allowing you to focus on higher-level tasks.

The tool supports conversion between various database systems, including SQL Server, Oracle, and PostgreSQL.

It can convert schema changes, such as adding or modifying tables, indexes, and views, making it an essential tool for database migration.

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Azure Migration Tools offer a range of features to simplify database migration to Azure.

Azure Database Migration Service is a tool that helps you simplify, guide, and automate your database migration to Azure.

You can use the Azure Database Migration Service to migrate data, schema, and objects from multiple sources to the cloud at scale.

The service supports migration from Microsoft SQL Server, MySQL, PostgreSQL, and MongoDB to Azure from on-premises and other clouds.

Here's a list of schema objects that can be migrated to Azure SQL DB with schema migration enabled:

Before migrating your SQL Server databases to Azure, use the Azure SQL Migration extension in Azure Data Studio to assess them and identify any issues that might arise during migration.

The migration process with Azure Database Migration Service is surprisingly straightforward. You can easily migrate your data, schema, and objects from multiple sources to the cloud at scale.

With this service, you can move data, schema, and objects to Azure, making it a comprehensive solution for database migration. It supports migration from on-premises and other clouds.

The migration process is highly resilient and self-healing, providing reliable outcomes with near-zero downtime. This means you can migrate your database without worrying about significant downtime.

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Before migrating your SQL Server databases to the cloud, it's essential to assess them first. The Azure SQL Migration extension in Azure Data Studio is a great tool for this, offering a user-friendly interface to run the assessment and identify potential issues.

This extension can help you generate right-sized configuration recommendations to meet your workload performance requirements.

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As you're monitoring the schema migration process, you'll want to keep an eye on the migration type and schema migration status.

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The migration type will indicate whether you've selected schema with data migration or just data migration, which will be displayed as "Schema and Data migration" or "Data migration" respectively.

Once the schema migration is completed, data migration will start as the next step.

You can monitor the overall schema migration status, which will give you a clear picture of the process's progress.

The Database Schema Conversion Toolkit supports a wide range of database objects for conversion from Oracle to Microsoft SQL platform.

This toolkit can automate the conversion of basic table definitions, including columns, indexes, primary keys, foreign keys, unique and check constraints. It also supports the conversion of procedures, views, triggers, sequences, and synonyms.

Here are some of the specific object types supported by the toolkit:

The Database Schema Conversion Toolkit is a powerful tool that supports automated conversion of various database objects from Oracle to Microsoft SQL platform. It's a game-changer for database administrators and developers who need to migrate their databases to a new platform.

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The toolkit currently supports conversion of basic table definitions, including columns, indexes, primary key, foreign key, unique and check constraints. This means you can easily move your database tables and their associated constraints to the new platform.

Procedures, views, and triggers are also supported, making it easy to migrate these critical database components. You can rest assured that your database logic and functionality will be preserved during the migration process.

Sequences, synonyms, and basic Routines and calls to user-defined routines are also supported, giving you a wide range of options for migrating your database objects.

The toolkit also supports basic DDL, TCL statements, including built-in functions, programability constructs like Exceptions, CTEs, and expressions like CASE, LOOPs, and Conditions.

Here's a summary of the currently supported objects:

The Database Schema Conversion Toolkit extension has got you covered when it comes to supported targets.

Microsoft SQL Server 2017 and above is one of the supported targets, allowing for seamless conversion of databases.

Azure SQL Database is also on the list, making it easy to migrate to the cloud.

Azure SQL Managed Instance rounds out the supported targets, providing a reliable and scalable option.

Here are the supported targets in a concise list: