The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

Traditional data center architectures are no longer sufficient to support the high-performance needs of AI, leading to new challenges in scalability, connectivity, and power consumption. The rise of ...

In today’s data landscape, a distributed architecture is driven by the need for real-time insights, compliance, and the scalability provided by cloud computing, with organizations increasingly ...

In a world where digital transformation is accelerating at an unprecedented pace, AI-driven data analytics has become the cornerstone of both cybersecurity and public safety innovation. As ...

ORLANDO, Fla.--(BUSINESS WIRE)--Qlik ®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced the launch of Qlik Open Lakehouse, a fully ...

In a recent Engineering article, researchers Jinghai Li and Li Guo discuss the future of data science and its significance for AI. They point out the challenges in scientific data systems, suggest ...

The IC’s data reference architecture consists of four principles: domain ownership, decentralized stewardship, self-service and federated computational governance. To achieve self-service, the IC ...

If the data architecture is not addressed and controlled throughout the Golden Dome’s life cycle, component interoperability, system surety, and weapon system effectiveness will all suffer.

Recognising these challenges, Keyrus's client engaged with its data architecture experts to migrate its data from Tableau Server to Tableau Cloud.This strategic move was aimed at alleviating the ...