Erik Esmaty

Was wäre, wenn du deine bestehende SQL-Datenbank für AI Agents verfügbar machen könntest, ohne eigene Konnektoren oder Plugins zu entwickeln oder auf riskante Text-to-SQL-Ansätze zu setzen? In dieser demo-orientierten Session schauen wir uns an, wie du mit Data API Builder und dem Model Context Protocol (MCP) SQL Server und Azure SQL zu sicheren und kontrollierbaren Backends für KI-Anwendungen ma

JSON in SQL Server often sounds complicated, but it is actually like LEGO for data: flexible, practical, and surprisingly fun once participants get hands-on. This topic is increasingly important because modern applications generate a lot of semi-structured data, and knowing how to handle it efficiently in SQL Server provides a major advantage in real-world projects.

In our professional lives, we often face repetitive tasks and time-consuming processes that distract us from what truly matters. In this session, I will demonstrate how tools like Elgato Stream Deck and Touch Portal can be used to implement simple automations that significantly enhance workflow efficiency—regardless of your specific field of work.

Although SSMS is still primarily used for many things around SQL Server, Azure Data Studio is a feature-rich alternative that has been out there for a while already. With the current version of SSMS, Azure Data Studio is installed by default in the background, so why not start using it!