The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

If you’d asked an IT professional whether object storage is any good for databases, the answer over most of the past decade or so would have been a resounding “no”. The response would have been pretty ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.

An open source database is just a regular database that’s distributed with its source code. Users can read, revise, and extend the software freely, although few use these opportunities. The most ...

The structured limitations of relational databases don't support modern advancements as well as NoSQL databases. The simplicity of a NoSQL key-value store offers a flexible architecture to process ...

Cloud storage is increasingly becoming a fundamental part of any modern organization's IT infrastructure. With growing data volumes and distributed operational models, businesses are looking to the ...

When you eliminate the dependency on local storage, the database becomes an active, real-time engine, not just a place to store data. In 2021, I was developing software for an aerospace manufacturer ...

Column-oriented databases and row-oriented databases are both methods for storing data in data warehouses. They both use tables with rows containing entries and columns for the data about the entry.

MongoDB is still the most popular NoSQL document database for developers, but compatible alternatives such as DocumentDB offer more choices than ever. At Open Source Summit Europe in August, the Linux ...