Microsoft PM Carlos Robles previews his Live! 360 Orlando session on how recent updates to the MSSQL extension—like GitHub ...

Enterprise data analysis has undergone three distinct development stages and is now entering the fourth stage.

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

With the advent of the data-driven era, NL2SQL technology has emerged, enabling users to generate database query statements using simple natural language, significantly lowering the barriers to data ...

Rather than spending their time executing manual queries, data analysts will increasingly operate like AI engineers—reviewing, refining, and validating AI-generated outputs.

Learn how to work with streaming data using Microsoft Fabric, KQL, and Real-Time Intelligence in this full-day Live! 360 ...

Cool demos aren’t enough — your team needs ML chops and context skills to actually get AI agents into production.

The company released GPT-5-Codex, a variant of GPT-5 that is optimized for Codex, OpenAI’s AI coding agent. It was trained on ...

Streamline access, automate provisioning, and secure logins with Rippling’s powerful identity tools and Supergroup logic.

HackerRank isn’t just a random collection of problems; they’ve organized their SQL section pretty well. You can find ...