NoSQL databases are designed to store different types of data like Key Value, Documents, Time Series, Graph & IoT. Pascal Desmarets talks about how to do data modeling when using NoSQL databases.

Current enterprise data architectures include NoSQL databases co-existing with RDBMS. In this article, author discusses a solution for managing NoSQL & relational data using unified data modeling.

Compared with legacy database systems, the management and operation of a NoSQL product is much simpler, and many enterprises are able to use its management capabilities to ensure their SLAs are met.

An example of a popular graph database system is Neo4j. Another Choice: The Multi-Model DBMS Yet another choice in the NoSQL market is the multi-model DBMS. A growing number of vendors have delivered ...

erwin has launched erwin DM NoSQL, an extension of the company's erwin Data Modeler solution. Representing an expansion of the company's 'any-squared' (Any2)-any data, anywhere-approach, the new ...

But logical modeling has not been widely embraced by NoSQL developers, who favor physical models, so it’s hard to seamlessly integrate NoSQL data in its native form into the larger world of data.

Well, as we used to know it, anyway. By the early 2000s, the limitations of the relational model–such as strict schemas and strong consistency–along the explosion of data and data types led architects ...

Data Modeling For an in-depth guide to NoSQL data modeling techniques, read this article at the Highly Scalable Blog. Engine Comparison ...

Here's a look at 10 real-world NoSQL use cases, demonstrating how companies from a variety of industries are employing this relatively new database.

When we talk about Big Data in the NoSQL space, we’re referring to reads and writes from operational databases – that is, the online transaction processing that people interact with and engage ...