Chapter 10. SQL Databases
In Chapter 9, we talked about Power BI, which is the most well-known feature in the Fabric landscape since it has been around for more than 10 years. In this chapter, we’ll introduce one of Fabric’s newest features: SQL databases.
SQL databases in Fabric bring together the trusted power of SQL Server and Azure SQL Database engines and integrate them into the Fabric ecosystem. This integration offers the familiarity and strength of SQL within a robust, scalable platform, unlocking advanced analytics and smooth data integration opportunities. They therefore bridge the gap between the analytical world, which we’ve mostly focused on in this book, and the operational data world, allowing you to bring them to the same place.
In a nutshell, SQL databases give us the capabilities of SQL Server and Azure SQL, but with fewer knobs and handles. As a result, we profit from more simplicity, but in exchange we have less control. Their combination of automation, AI integration, governance, and seamless data operations makes these databases a suitable solution for enterprise-scale applications while maintaining efficiency and reliability.
In application development scenarios, developers can leverage SQL databases in Fabric to modernize and improve their operations. With the introduction of built-in vector data types, teams can store and query product and customer information to enable advanced semantic search, enhancing AI-driven functionalities.
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A vector data type ...
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