Here, we explore four common types of non-relational databases to consider for your data strategy. Document Stores. Document stores, a prominent category within NoSQL databases, manage data in a ...

Any data can be stored in any record. Among the NoSQL databases, you will find four common models for storing data, which lead to four common types of NoSQL systems: Document databases (e.g. MongoDB).

Data validation is the process of ensuring that the data in a relational database conforms to certain rules and standards, such as data types, formats, ranges, constraints, and relationships.

The Open Database of Infrastructure contains data across 11 infrastructure types: electric grid, oil and gas, low carbon, bridges and tunnels, airports, ports and marinas, railways, potable water, ...

This architecture ensures scalability and the ability to analyze vast amounts of data quickly, even in real-time scenarios. Big data platforms often rely on techniques like MapReduce and stream ...

Sensor data and IoT applications have special requirements that might be better served by a specialized database. Here’s what to consider. The world has become “sensor-fied.” Sensors on ...

Understanding the specific categories of CRM data and how to use them effectively is essential to getting ... When using identity data in concert with other types of data in your CRM database, ...

Research databases will become part of the Data Connect repository and will be managed by Data Connect. University-led research groups who are approved by the Data Connect ‘Data Access Committee’ will ...