Data warehouses are the key component of analytics. With data warehouse technologies picking up speed a few industry best practices have evolved.

A data warehouse is an electronic system for storing information in a manner that is secure, reliable, easy to retrieve, and easy to manage.

Although difficult, flawless data warehouse design is a must for a successful BI system. Avoid these six mistakes to make your data ware house perfect.

When approached strategically, leveraging AI and data analytics in warehouse management can help optimize various workflows and address key issues.

Oracle Corp. early today debuted a new version of its Autonomous Data Warehouse platform that promises to simplify enterprise analytics projects, as well as reduce costs. Companies use the ...

When the requirement is to handle structured data for a predefined business purpose, a data warehouse is seen as the go-to choice. However, building and maintaining a data warehouse is quite a task.

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes ...

Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that ...

As companies embrace digital trans­formation across the enterprise, it is data and the effective use of it that determines whether new technologies such as AI, auto­mation, and analytics will be ...