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, ...

Over the last couple of decades, large multi-dimensional databases have become ubiquitous in a vast array of application areas, such as corporate data warehouses as well as projects in scientific ...

Users have the ability to consume both multidimensional (OLAP) and relational data with SQL Server 2005 Reporting Services technology and the Report Builder feature. Learn how you can use this feature ...

Most of the major relational database makers have added, or are adding, object extensions to their products, so they can handle user-defined and binary datatypes such as pictures, video, faxes, etc.

Over the last couple of decades, large multi-dimensional databases have become ubiquitous in a vast array of application areas, such as corporate data warehouses as well as projects in scientific ...

Other than relational databases using tables as key entities, multidimensional databases use another approach. They define data models based on the relation of tables, which include business ...

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. Dave Rosenberg Co-founder, MuleSource Dave Rosenberg has ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

The relational database so dominates the thinking of information technology and business professionals that its presumed suitability for essentially all data management tasks is rarely questioned. But ...