While both data architecture and data modeling seek to bridge the gap between business goals and technology, data architecture is about the macro view that seeks to understand and support the ...

Open source in-process OLAP system launches rival to Iceberg and Delta Lake table format, and more With a combined market ...

Across sectors like healthcare and pharmaceuticals, organizations are undergoing a fundamental shift in how they approach ...

In our increasingly digital economy, data is the oxygen that powers transformation, fuels artificial intelligence, drives ...

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.

models that can access your data estate’s semantic meaning, and ensures everything is housed within a single, centralized governance model. AI fabric architecture empowers organizations to ...

Until recently, there was no alternative to this segregated data architecture ... rushing an AI model into development without a strong data foundation. But complex data pursuits like generative ...

But if the logic and architecture of data systems do not align with the data’s inherent characteristics, it can result in problems such as model prediction errors, poor generalization ability ...

As a senior member of the IEEE organization and an accomplished author, she has contributed to the fields of data architecture, modeling, analytics, and operations in academia and professional ...