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 ...

A distributed database is a database that consists of two or more files located in different sites on the same or different networks. Processing is distributed among multiple database nodes stored in ...

A vector database is a type of database technology that's used to store, manage and search vector embeddings, numerical representations of unstructured data that are also referred to simply as vectors ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

Limited and targeted data sharing between agencies has long been understood as a way to reduce administrative burdens (on both administrators and individuals interacting with government); improve ...

Nearly all database professionals surveyed by Percona said their organizations still run database versions past official ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Lily Mara explains how to avoid high-risk ...

A database tuned for AI, data that aids breast cancer diagnosis, a way for companies to control their datasets, and more. Training data begat large language models—and ever since, they’ve been ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...