As SQL Server 2016 approaches end of support in July 2026, a look back at its groundbreaking innovations reveals how it reshaped Microsoft's data platform and why it's time to move forward.

If you are building a simple dashboard or a form-based application, the traditional JSON API (REST or GraphQL) approach is ...

FAANG data science interviews now focus heavily on SQL, business problem solving, product thinking, and system design instead ...

Progress Software Corporation ( PRGS) Discusses High-Performance Multi-Database Connectivity and WinSQL Features May 7, 2026 1:00 PM EDT ...

A new platform won't fix your data problems if your business logic is a mess; you need to clean up your data definitions ...

Ransomware gang Stormous has claimed that it breached GS1 South Africa, which also trades as the Consumer Goods Council of ...

Structured data capture in Revvity Signals One turns lab data into searchable, auditable records for real-time analytics and ...

Large language models are not just getting smarter, they’re becoming more specialized. Turn to these models for deep ...

Enterprise teams no longer have to open every individual campaign component, parse SQL queries, or reverse-engineer segmentation logic just to understand what a marketing program does. MessageGears ...

The biggest mistake in enterprise AI has never been a lack of data. It has been the belief that more data automatically ...

Somewhere between a five-month investigation gap at a Minnesota hospital and 17 million vehicle records sitting on a contractor’s FTP server, a familiar story started taking shape again. Attackers ...

Enterprises modernize legacy mainframe systems with AI agents, leveraging existing infrastructure while overcoming integration challenges.