Relational database management systems (RDBMS) rely on an optimizer (or relational optimizer) that transforms SQL statements into executable code. Before any SQL statement can be run by the RDBMS, the ...

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 ...

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 ...

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 ...

Last week, Codd's widow, Sharon, said she is working on a new relational enterprise management system that will translate business knowledge described by business professionals into working ...

Among all of the hardware and software that is in a datacenter, the database – whether it is SQL, NoSQL, NewSQL or some other contraption in which to pour data and ask questions about it – is probably ...

The data management landscape is undergoing a serious transformation. While traditional relational databases have been the ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...