Storing data in multi-model database wards off this problem. As a modern management system, multi-model databases offer an elegant solution to managing diverse and unstructured data. Instead of ...

This year is an expansive one for the database ecosystems that have evolved around the major platforms. Artificial intelligence (AI), machine learning, the Internet of Things (IoT), and cloud ...

There are many rodent models of Alzheimer’s disease, Parkinson's disease, Amyotrophic Lateral Sclerosis, and related neurodegenerative diseases. This database currently contains just a subset of the ...

Back in the 1970s, the ANSI SPARC three-tiered model arose, foreshadowing a smooth intertwining of data and architectural design. The three tiers concept isolated the physical storage needs of data ...

The way data is actually stored in a database and managed by a DBMS is defined by a database model. Essentially, there are three types of database models: Relational, Hierarchical and Network.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Redis Labs is introducing two new data models and a new data programmability paradigm for multi-model operations. RedisTimeSeries collects and stores high volume and high velocity data, and ...

The Data Model Profile is a UML extension that supports the modeling of relational databases in UML. It includes custom extensions for such things as tables, data base schema, table keys, triggers, ...