As the increasing value of big data becomes more and more understood, the desire to retain it longer (even indefinitely) and access it quickly and easily presents new challenges—not only storing ...

The financial services domain, where real-time is measured in milliseconds, holds particular interest for big data applications and vendors for a number of reasons: architecture, regulation ...

Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access ...

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

But first things first mandate that the right data architecture be put in place to fully enable AI. While data lake solutions help accelerate this process, the right architecture cannot be bypassed.

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

As my understanding of the perfect cloud data warehouse and the perfect data supply chain matures, I will revisit this evaluation. Please reach out to me of you want to share your experience.

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready ...

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

It’s time to rethink data architecture. The architectures that have been built over the years were suitable for on-premise, legacy environments but tended to be static, inflexible, and accessible to ...