Over the years, we've seen a couple of different organizational models for delivering analytics to the business. While both models have their advantages, each model has some severe drawbacks that make ...

DataHub today announced it is joining the Open Semantic Interchange (OSI), an open source initiative that creates a universal specification for all companies to standardize their fragmented data ...

Metadata is increasingly driving semantic data modeling, said Suresh Nair, New York-based vice president and chief architect, financial services, at IT processing services company Mphasis, who was ...

In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...

Generative AI (GenAI) and large language models (LLMs) rocketed onto the scene in 2023, and boards now want returns from the technology yesterday. But AI disillusionment is brewing, with many projects ...

Conventional data management systems are fundamentally ill-suited for the world of data as it exists today. These systems, based with few exceptions on the relational data model, are broken because ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...

A monthly overview of things you need to know as an architect or aspiring architect. This article dives into the happens-before semantics of Go channels, explaining how they relate to memory ...