As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

Historically, data center design was linear: Size the facility to meet demand forecasts and hope for the best. Power and ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

Snowflake’s SNOW AI Data Cloud remains a key catalyst to its positioning as enterprises modernise their data and AI ...

Last year’s inaugural Supercloud event shed light on the accelerating popularity of multicloud infrastructures as a default enterprise standard and the eventual emergence of an eponymous supercloud ...

As part of CRN ’s Stellar Startups for 2025, here are five big data technology startups, founded in 2019 or later, that ...

The partnership merges CoreWeave’s GPU-accelerated infrastructure with the Vast AI operating system. Together, according to ...

Solid-state storage is emerging as essential for AI efficiency, better performance, and lower cost of ownership compared to ...

Digital transformation. Infrastructure modernization. Global data center demands. All these forces and more are driving enterprises around the world to seek out next generation cloud-based ...

Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of a modern application architecture.

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...