I've been thinking a lot lately about what it actually takes to make an AI agent genuinely useful for database work, both for administration and for application access to the data tier. Writing the ...

Cybersecurity researchers have disclosed details of a new method for exfiltrating sensitive data from artificial intelligence (AI) code execution environments using domain name system (DNS) queries.

We’re pleased to introduce a new capability for Dynamics 365 Finance and Operations archive with Dataverse long-term retention: parallel processing for archive jobs. This enhancement allows the ...

SQL Server 2025: Redefining the modern data platformIssued by Ascent TechnologyJohannesburg, 11 Mar 2026 SQL Server 2025: Redefining the modern data platform. Explore how SQL Server 2025 reshapes the ...

MySQL and PostgreSQL are two of the most used open source SQL databases, and both fulfill the role of a general-purpose database well. How do you choose which one to use for a project? Let's look at ...

Abstract: In AI era, the scale of data involved in relational databases has shown an exponential growth trend, which leads to a sharp rise in the CPU load of database management systems and a ...

Azure Synapse Analytics is a cloud-based, scale-out database that's capable of processing massive volumes of data, both relational and non-relational. Azure Synapse Analytics is built on the massively ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...