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

Data architect vs. data scientist. The data architect and data scientist roles are related, says Dataversity, but data architects focus on translating business requirements into technology ...

Data architecture – documents the structure of logical and physical data assets and any related data management resources. Technology architecture – describes the hardware, software, and ...

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

A Shift from Primitive to Modern Data Architecture. From the definition, data architecture may seem like a technical process. Although this was the case earlier, modern data architecture aims to close ...

“Advanced machine learning and AI technology allow for data fabric to bring all of these parts together while also reaching a higher degree of automation, optimization, and augmentation.” A data ...

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.