At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Relational event models (REMs) have emerged as a pivotal statistical framework for the analysis of time‐stamped interactions within social networks. By treating interactions as discrete events in ...

NoSQL entered the scene nearly six years ago as an alternative to traditional relational databases. The offerings from the major relational vendors couldn’t cut it in terms of the cost, scalability, ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

Databases were traditionally highly specialized data stores that were designed for specific tasks and until recently, they've been getting even more specialized. Recall data warehouses? Somebody once ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Transactional cloud databases come in all shapes and sizes, from simple key-value stores to planet-scale distributed relational databases. Here’s how to choose the right cloud database for your ...

HSBC Bank is one of the world’s leading financial institutions. It is simplifying its data model by running its applications on MongoDB. HSBC is one of the world's most recognisable banking and ...

I'm trying to figure out if I'm just an inexperienced developer as it relates to building applications on top of relational databases, or if there is greater value in terms of flexibility and ...