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.

Learn how the ANSI/SPARC model defines three levels of data abstraction and how they help data architects to design and manage data architectures.

The job of data architects and data modellers are often confused. Both of them deal with huge data but there is a subtle set of differences between the two roles. Data Architecture Vs data Model Data ...

The digital transformation of enterprises and the characteristics of power marketing business services put forward higher requirements for data storage, data flow, database optimization and other ...

Data Architecture is one of the ways to provide that. This article shows industrial experiences in building data analytics architecture (DAA). We use model-driven engineering to model a data-analytics ...

Facing an existential crisis, enterprise architecture must abandon outdated dogma for AI-driven adaptive governance to ensure survival and deliver value.

Here we present an integrated model for detecting significant Hi-C interactions that systematically accounts for the dependence of interaction bin read counts on sources of bias like GC content ...

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 ...

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