AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

A relational database is a type of database that organizes data points with defined relationships for easy access. In the relational database model, the data structures-- data tables, indexes and ...

Relational databases and the software that access them can be invaluable tools to businesses. Popular relational database management systems include Microsoft SQL Server, Oracle Database, as well as ...

KeewanoDB gives every user, device and agent its own table, so AI agents can read event history in sequence instead of rebuilding it at query time.

DataCebo is the company behind the Synthetic Data Vault (SDV), the source-available ecosystem that pioneered generative modeling for tabular and enterprise relational data. Originating at MIT's Data ...

Excel used to be the poor schmuck’s database, with spreadsheets that just sort of sat there. You could create something more sophisticated with LOOKUP functions, but they were a huge hassle to set up.

Denormalization helps to address a fundamental fact in databases: slow read and join operations. Imagine a fruit seller has two daily lists: one of in-stock fruit and another with the market prices of ...

When object-oriented programming languages began to be used in enterprise applications, designers had problems fitting the object-oriented model with the relational model. In the object-oriented model ...

Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

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, ...