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.

Ted Hills hosted a workshop at the recent Data Architecture Summit 2018 Conference about data modeling for relational and NoSQL databases. He said that the NoSQL movement helped the database ...

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 ...

The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

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 ...

Here are 10 basic facts every CIO should know about big data and emerging database technologies.

Fortunately, as NoSQL has grown in popularity, quality tools have emerged to model, govern and manage your NoSQL data as effectively as for relational databases.

NOSQL systems choose either Consistency and Partition tolerance, or Availability and Partition tolerance depending on the engine and the data model.

Beyond SQL To understand the NoSQL boom, it helps to take a quick look at how we got here. The relational data model has been around since the early 1970s, and it became popular for good reasons.

Today, enterprises are adopting NoSQL databases for customer-facing, revenue-driving applications that serve hundreds of millions of consumers.