Document-oriented databases (also called: aggregate databases, document databases or document stores) place each record, and its associative data, inside single documents. This database type is a ...
“The right tool for the right job.” If such wisdom holds true anywhere, it certainly holds true with the choice of database a developer picks for a given application. Document databases, one of the ...
This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics. What is a document store database? Document stores accommodate data that has a ...
NoSQL databases were born out of the need to scale transactional persistence stores more efficiently. In a world where the relational database management system (RDBMS) was king, this was easier said ...
eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Google has launched a beta-version of a new fully managed ...
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 ...
Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — 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 ...
Bit late in posting this up, but given I did something about RainStor I thought I should write up my attendance at a MarkLogic event day in downtown Manhattan from several weeks back - their NoSQL ...