Forbes contributors publish independent expert analyses and insights. I decode analytics for business people. The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL ...
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 ...
In a world of fancy apps and cloud computing, relational data managers are a little more down to earth but no less necessary a business tool. In a world that is all about new apps and cloud computing, ...
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 ...
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 ...
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 ...
The data management landscape is undergoing a serious transformation. While traditional relational databases have been the ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Relational databases and SQL were invented ...
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 ...
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