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, ...

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

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

DuckDB has recently introduced end-to-end interaction with Iceberg REST Catalogs directly within a browser tab, requiring no ...

Bun 1.3 revolutionizes full-stack JavaScript development with unified database APIs and zero-config frontend setup. Experience enhanced performance with built-in Redis support and optimized bundling.

We’re living through an era of accelerated change, and leaders feel it every day. In five years, we’ve experienced the impacts of Covid and how it rebooted the norms we took for granted in how we work ...

Experts at the Table: Semiconductor Engineering sat down to discuss how and where AI can be applied to chip design to maximize its value, and how that will impact the design process, with Chuck Alpert ...

A searchable database of public records concerning use of force and misconduct by California law enforcement officers — some 1.5 million pages from nearly 700 law enforcement agencies — is now ...

Imagine creating a stunning, fully functional website without writing a single line of code. Sounds too good to be true? Think again. Thanks to the powerful synergy between Figma and innovative AI ...