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 ...

In the vast universe of IT, data is categorized as being either structured or unstructured, from a macro perspective. Generation of unstructured data is orders of magnitude higher than that generated ...

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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, ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

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 ...

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 ...

A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user ...