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 ...
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 ...
NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...
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, ...
Opinion
KurrentDB 26 Provides Non-Disruptive Integration for AI Systems and Eliminates Custom Code ...
Event-native data platform innovator Kurrent is releasing KurrentDB 26, adding native Kafka Source Connector, Relational Sink, and Custom Indices capabilities that reduce custom code requirements for ...
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 ...
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