Think about the promise of what AI is able to accomplish in terms of helping with software production and systems operation. Part of the business appeal of realigning operations with AI has to do with ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

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, ...

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 ...

Description: An in-depth examination of relational database systems including theory and concepts as well as practical issues in relational databases. Modern database technologies such as ...

File-based databases have been around since the dawn of computing. We’ve always needed to have a way of storing records of the same kind of information. In the PC world, we ended up with very popular ...

Legacy databases are a bottleneck to digital transformation, a Vanson Bourne survey of 450 heads of digital transformation in organisations with 1,000 employees has found. The survey, which is ...

Kx Systems has been selected to provide its kdb+ database to Ontario, Canada’s Independent Electricity System Operator to support the retrieval and querying of smart meter data processed by Ontario's ...

To make productive use of the ever-growing volumes of data, businesses and organizations need the right database systems to manage all that data and make it available for transactional and analytical ...