To gain business value from data, enterprises need to get their data architecture right – and the right business leadership and culture is critical to that.

Adaptable data architecture will be reliant on robust design and integration A cohesive data management environment supports all kinds of data workloads and is accessible via unified access with ...

In development and validation, our focus shifts to the solution and how to bring it to life, starting with creation and ...

This data design pattern, also known as 'multi-hop' architecture, logically organizes data in the lakehouse by creating three distinct layers, each improving data quality and structure.

Data Architects design systems for enterprise database systems and set standards for operations, programming, and security.

Robust data architecture design is crucial for ensuring efficient data management, scalability, adaptability, and the support of business intelligence. Creating a sustainable data ecosystem is ...

This article provides an overview of how the InfoQ editorial team sees the Software Architecture and Design topic evolving in 2023, with a focus on what architects are designing for today.

As they do so, they should consider the following five design principles for their future-state technology architecture. 1. Create an API ecosystem that integrates microservices.

Ecole des Ponts ParisTech has established an advanced masters program with a focus on design, digital fabrication and robotics.

Discover the latest Architecture news and projects on Data Driven Design at ArchDaily, the world's largest architecture website. Stay up-to-date with articles and updates on the newest ...