In this eMag on “Modern Data Architectures, Pipelines and Streams”, you’ll find up-to-date case studies and real-world data architectures from technology SME’s and leading data ...

When enhanced by the rich, self-describing nature of semantic knowledge graphs, data mesh and data fabric can greatly complement one another.

From cloud data warehouses and lakehouses to real-time data processing and streaming, the data architecture landscape continues to evolve rapidly. Right now, the majority of DBTA subscribers have ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs.

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

While the emerging constellation of next-generation data architectures-fabric, mesh, and cloud-is extremely appealing, it's still full of unknowns. ­These approaches present opportunities for greater ...

There are tensions and trade-offs in decisions about data architecture. But leading CDOs are bringing structure, tools, and governance to embed analytics and deliver "data as a service." ...

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.

The U.S. Army is currently working to implement its Unified Data Reference Architecture, which is designed to join a data mesh and data fabric in a way that would allow users to easily access data ...