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 ...

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, ...

Relational databases residing on multiple servers usually use replication to keep the databases synchronized. NoSQL databases can reside on a single server but more often are designed to work across a ...

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 ...

Data estates are expansive. Organizations in all business verticals are operating data stacks that run on a mixture of legacy technologies that work effectively but aren’t always easy to move or ...

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 ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...

The relational database so dominates the thinking of information technology and business professionals that its presumed suitability for essentially all data management tasks is rarely questioned. But ...