A data analyst is working in a multi-OS environment, with team members using Windows, macOS, and Linux devices. The team needs a database management tool that provides a modern query editing experience, integrated source control, and native support for Jupyter Notebooks to analyze data from Azure SQL Databases. Which of the following tools best meets these requirements?
The correct answer is Azure Data Studio. It is a cross-platform tool from Microsoft that runs on Windows, macOS, and Linux, which meets the multi-OS requirement. It is built on Visual Studio Code and is specifically designed for working with the Microsoft family of data platforms, including Azure SQL Database. Key features include a modern editor, Git source control integration, and native support for Jupyter Notebooks, making it the ideal choice for the scenario described.
SQL Server Management Studio (SSMS) is a comprehensive tool for SQL Server administration but is incorrect because it is only available on the Windows operating system.
MySQL Workbench is also a cross-platform tool, but it is primarily designed for managing MySQL and MariaDB databases, not Azure SQL Databases.
DBeaver is a universal, cross-platform database tool that can connect to Azure SQL. However, Azure Data Studio is the best choice in this context because it is a Microsoft product with deeper, native integration for Jupyter Notebooks and other features tailored specifically to the Azure ecosystem.
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