Data security posture management (DSPM) tools help security teams examine their entire data environment to find shadow data, reducing the risk of data loss. Tracking down sensitive data across both ...

Tension: The data industry promised democratization, but its biggest players quietly hoarded access through relentless acquisition strategies. Noise: Flashy tech IPOs and dot-com drama distracted ...

SQL Server Management Studio (SSMS) version 22.5 is now available, bringing a mix of new features, usability improvements, and ongoing integration with AI tools. The update focuses on simplifying ...

Abstract: Data management system configuration optimization has been the focus of database-related research. It can improve the adaptability of DBMS to various business scenarios by selecting the ...

Explore the latest research published through Frontiers FAIR² Data Management: reusable, AI-ready, and citable datasets designed to accelerate discovery and maximize impact across disciplines.

This project implements a custom database management system using a doubly linked list structure. It features SQL-like query parsing, supports basic database operations, and employs efficient index ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Academy founder. For all of us who have built our careers in the complex and ...

Microsoft has revealed some details about what's next for SQL Server Management Studio (SSMS). Customers should expect multiple SSMS releases soon. SQL Server Management Studio (SSMS) is the tool of ...

This project implements a basic College Database Management System using PostgreSQL. It includes SQL scripts for table creation, data insertion, and various queries, as well as an ER diagram designed ...

Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time. Generative AI has already had a profound ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...