Introduction Modern applications are increasingly powered by large language models (LLMs) that don’t just generate text—they can call live APIs, query databases, and even trigger automated workflows.

SQL skills are essential for high-demand roles like data analyst, business analyst, data scientist, software developer, and ...

CloudQuery's developer-first approach to cloud governance pulls data from 60-plus sources into a single, queryable data ...

Integrating AI output with SQL and providing observability of large language models are ways to put more data analysts in ...

Fabric’s data agents are designed to be built and tested outside the Azure AI Foundry ... a data warehouse, a set of Power BI semantic models, or a KQL database. Limiting the sources makes ...

Microsoft's SQL Server software ... has capabilities to bulk-insert Comma Separated Value files into a database. Companies use CSV files to conveniently exchange data with suppliers, field ...

Enhanced SQL ELT for Microsoft Azure – Enables no-code data pipeline definition and execution with in-database SQL-based processing for ... Informatica lets customers integrate enterprise data into ...

Enhanced SQL ELT for Microsoft Azure – Enables no-code data pipeline definition and execution with in-database SQL-based ... integrate enterprise data into the Iceberg Open Table format ...

By tying our large language models (LLMs) to specific data ... into graphs, making them more useful as part of an AI-powered application. At the same time, you can use the Azure Open AI APIs to ...

It is important to note that this is a different product than the Copilot for Azure Data Studio that I wrote about in November, the most significant difference being that the new SQL Database ...