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 ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical fabric ...

In a conversation last year, Justin Sheehy, CTO of Basho, described NoSQL as a movement, rather than a technology. This description immediately felt right; I've never been comfortable talking about ...

On top of business's growing frustration with proprietary software, the relational database model championed by the big vendors is looking increasingly dated, according to the CEO of leading ...

One goal of some NoSQL databases is to remove the overhead and memory footprint of relational databases. Other goals of NoSQL databases include: closer affinity with programming languages, use of web ...

Big data represents an enormous shift for IT, said Craig S. Mullins in a presentation at Data Summit 2016 in NYC that looked at what relational database professionals need to know about big data ...

Of any enterprise technology, enterprises are most dedicated to their chosen database. Once data goes into a particular database, CIOs hate to take it out. It's costly, and the risks often outweigh ...

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 ...