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.

In Key Value data stores, data is represented as a collection of key–value pairs. InfoQ spoke with Casey Rosenthal from Basho team about data modeling when using Key Value NoSQL databases.

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 ...

A data model is not just documentation, because it can be forward-engineered into a physical database. In short, data modelling solves one of the biggest challenges when adopting NoSQL technology: ...

A representative of ArangoDB reached out to present what the company thinks is a new idea. I was told that "We are working on the native multi-model idea, meaning that we found a way to efficiently ...

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

NoSQL is a whole new way of thinking about a database. Though NoSQL is not a relational database, the reality is that a relational database model may not be the best solution for all situations.

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

A NoSQL database makes it simpler to add new fields for the entries that need them. Some NoSQL databases use a “document” model, where sets of keys and their values are grouped into documents.

There is no query language for key-value stores, instead using basic CRUD (create, retrieve, update, and delete) commands. Popular key-value stores are Memcached, Redis, RocksDB, and Riak. Key-value ...