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

Mired in supportive tasks and complex architecture, the true cost is innovation. This is why a company's data architecture is more important than the data itself.

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

Edge databases can empower edge data to bring computing and data storage close to data sources, toward sustainability and reduced waste.

Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.

From Netflix to Facebook, companies around the world serve millions to billions of internet users with digital products and data center facilities are the backbone of the entire experience.

The results are in! This comprehensive study tracks enterprise adoption rates and maturity across key architectural patterns - from cloud data warehouses and real-time analytics to data lakehouses, ...

Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value.

Data architecture, guidelines + industry standards: Health systems’ recipe for generating value from information assets Healthcare organizations are awash in data.

The Keysight Artificial Intelligence architecture includes the newly announced KAI Data Center Builder and features four portfolio suites that address all aspects of AI data center design, from ...

To provide a comprehensive data security architecture that enables collaboration between data owners and security, a few critical components are required.