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, ...

The market is abuzz with terms like NoSQL, Big Data, NewSQL, Database Appliance, etc. Often, IT decision makers can get very confused with all the noise. They do not understand why they should ...

Nowadays, huge volumes of unstructured data are generated, and this cannot be restricted to standardized text inputs for the RDBMS. For example, every corporate entity has applications that generate ...

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 ...

For over two decades, Oracle, IBM, and Microsoft relational databases were the only consistent leaders in the Gartner Magic Quadrant for Operational Database Management Systems--and there were few ...

Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimizations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning ...

Last issue I talked about Thor Technologies, its new round of funding and its “best of breed” solutions. But what the Thor folks really wanted to talk about was the use of SQL-based relational ...

Migrating from an RDBMS to NoSQL can improve scalability and flexibility. Explore top NoSQL databases and best practices for migrating data. The phenomenon of big data continues to underscore the ...

The rise of new data types is leading to new ways of thinking about data, and newer data storage and management technologies, such as Hadoop, Spark, and NoSQL, are disruptive forces that may ...