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.

Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...

With version 2.0, the open-source database Dolt brings vector data, adaptive storage for large values, and a new storage ...

The data job market in 2026 isn't just about knowing SQL or Python anymore; it's about proving you can orchestrate AI agents to build robust data pipelines on Google Cloud. With CodeSignal's recent ...

Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and ...

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

Shifting from risk-averse data protection to a "community-first" sharing mindset, leveraging AI and existing ...

Read more about Agentic AI red teaming could become essential for securing future AI systems: Here's why on Devdiscourse ...

PostgreSQL Drives Self-Driving Spatial Databases Remote Sensing Professionals Master New AI-Driven Skills Practical Patterns ...

One of the Azure SQL-related announcements that did not get a lot of publicity at May's Microsoft Build conference was the Azure SQL Database local database experience. With all the hype around SQL ...

The federal watchdog for consumer financial products has been stripped of its enforcement capabilities, but the data remains ...

Overview: Emphasis on practical problem-solving: debugging workflows, handling re-renders, and optimizing performance instead of memorizing definitionsDeep unde ...