NoSQL keeps rising, but relational databases still dominate big data Your email has been sent NoSQL promised to upend the database market as big data forced a sea change in how we think about and ...

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 ...

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 ...

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 ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...

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 ...