It’s not exactly clear where we are in the Gartner Hype Cycle with respect to so-called “NoSQL” databases. We’ve definitely been through the Trough of Disillusionment, but are we in the Slope of ...

Though NoSQL originally developed as a flexible and agile alternative to relational database systems, non-relational databases haven’t yet gained wide acceptability in the large enterprise segment.

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 ...

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, ...

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 ...

Excel possesses formidable database powers. Creating a relational database starts with a Master table that links it to subordinates, called (awkwardly) Slave, Child, or Detail tables. Before we dive ...

Does the World Really Need Another Hadoop Distribution? Not all Hadoop packages offer a unique distribution of the Hadoop core, but all attempt to offer a differentiated value proposition through ...

The development of database technology is one of the defining achievements of the information technology era. It not only has been the key to dramatically improved record-keeping and business process ...

Relational databases and SQL were invented in the 1970s, but still dominate the data world today. Why? Relational calculus, consistent data, logical data representation are all reasons that a ...

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 ...