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, ...

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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 ...

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 ...

The similarities and differences between HDBMS, NDBMS, RDBMS and OODBMS give the clear cut idea to the user or database designer of selecting better model for storing information. In this paper, the ...

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 ...

The heart of any relational database management system is the system catalog that documents the database objects and system settings being used. The system catalog offers a wealth of information about ...

Many people associate open source data framework Hadoop with managing truly massive amounts of data. And with good reason: Hadoop storage is used by Facebook and Yahoo, which many people (rightly) ...