A headless data architecture can unlock unparalleled data access across your entire organization. It starts with a shift left.

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.

What exactly is a data architecture? As the Zachman Framework exposed long ago, different people look for different kinds of details and documentation to answer fundamental questions about an ...

Sandhill Consultants and erwin, Inc. believe that your data is key in taking a measured approach to change, rather than a simple, imprudent reaction to an internal or external stimulus. But you have ...

Mired in supportive tasks and complex architecture, the true cost is innovation. This is why a company's data architecture is more important than the data itself.

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

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 ...

Enterprise database architectures use three DBMS schema layers to separate the system into internal, external and conceptual tiers. Here's how they work.

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

Discover how building information tools revolutionize decision-making in architecture, from design to operation, transforming our perception of this discipline.