Learn how to communicate your data architecture designs with clarity, relevance, and impact. Follow these tips to share your data architecture designs effectively.

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

Learn the best practices for choosing a data model that suits your data needs and goals. Understand your data sources, requirements, options, architecture, and testing.

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.

Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.

An open data architecture eliminates silos and allows data teams to collaborate on the same data, deliver data reliability and easily manage data. This kind of architecture is beneficial for ...

Hadoop may have fizzled out as a data platform, but it laid the groundwork for an open data architecture that continues to grow and evolve today, largely in the cloud. We got a peek at the future 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 ...

Marine pollution is known and investigated. In the case of economic exploitation of marine waters, i.e. aquaculture and recreational activities, continuous monitoring of their quality is necessary.

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