This is an excerpt from Chapter 15 from the book NoSQL for Mere Mortals by Dan Sullivan, an independent database consultant and author. In the chapter, Sullivan takes a look at the four primary types ...

Organizations need databases that can meet increasing demands for data storage and accommodate data variety efficiently. Column-oriented databases fit this description. Columnar databases are a type ...

Businesses are struggling to cope with and leverage an explosion of complex and connected data. This need is driving many companies to adopt scalable, high performance NoSQL databases - a new breed of ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. by Chris Preimesberger Managing session information using ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs. There are more ...

NoSQL databases arose in response to the limitations of using SQL (Structured Query Language) for database queries. NoSQL databases store and manage data in ways that enable high operational speed and ...

The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility, horizontal ...

This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a graph database? Graph databases organize facts into connected bundles, ...

Learn how modeling the NoSQL databases is different from the data modeling in Relational database space Understand the steps in a typical NoSQL data modeling process Deliverables and artifacts in ...