Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

Graph database expert Marko Budiselić has some thoughts on why it's time to be more data source ecumenical. Coming from the world of graph technology, ...

The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

At the upcoming Visual Studio Live! Las Vegas developer conference, SQL expert Denny Cherry will share essential indexing ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Meet NoDB, an open source Airtable alternative that builds REST endpoints and SDKs, so your team moves faster without monthly ...

Abstract: In the relentless pursuit of enhancing integrated circuit (IC) performance, FinFET technology has emerged as a promising alternative to conventional planar CMOS technology. This study ...

Abstract: The engineering of systems has lacked the scientific and mathematical underpinnings enjoyed by traditional engineering disciplines. Earlier work of the authors formulated advanced ...