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 ...

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

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 ...

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

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.

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

Although NoSQL has generated some noise of late, SQL continues to win in the marketplace and continues to earn investment and adoption throughout the big data problem space.