Oracle has recently announced MySQL AI, a new set of AI-powered capabilities available exclusively in the MySQL Enterprise edition, targeting analytics and AI workloads in large deployments. Concerns ...

Move comes as Snowflake and Databricks chase the same all-in-one analytics dream Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and ...

Let's follow up the last column with a step-by-step breakdown shows how the PowerShell script automates SQL Server backups, ...

Getting seminal first-person shooter Doom running on minimal or bizarre hardware is a sport among hackers, but the fact that Doom runs in fast, portable C makes it possible. What if Doom were instead ...

The latest upgrade to Aloudata Agent's intelligent attribution analysis capability does not just tell you 'what happened,' but is more focused on revealing 'why it happened'—and it does so in a ...

Prequel is a SQL query engine built in C#. The goal of this project is to demonstrate how query engines are built, and to bring a query engine to the .NET community. The project contains a ...

At the end of my last post I showed how, if you put the definition of a measure in the AI Instructions of your Power BI semantic model, Copilot can use it as a template to create new measures with ...

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. SQL Server 2025, now in public ...