Database virtualization should be viewed as a critical weapon in the IT leader’s quiver to attack migration challenges when an efficient way to migrate data to the cloud is called for.

A database designed to support decision making in an organization. Data from the production databases are copied to the data warehouse so that queries can be performed without disturbing the ...

Data marts: Organizations might also add data marts to their warehouse architecture — between the central database and end-users — to serve specific business lines.

Schauenburg Systems and OQLIS, a leading provider of real-time data analytics and visualisation platforms, are proud to ...

With the new release, Oracle is expanding the appeal of the autonomous data warehouse to add end-to-end self-service experiences geared for business users.

Data warehousing, real-time analytics, database appliances, columnar databases, MPP, enterprise architecture and in-memory database news, analysis, trends, and research.

Implementing a data warehouse system that doesn't meet your core business needs can cause avoidable pain. Here are six best practices to consider before choosing a data warehouse.

Data warehouse designs are the foundation of business intelligence projects. Find out 5 mistakes you need to avoid now.

Every organization needs a data warehouse. A data warehouse has never been a one-size-fits-all kind of solution. Variations exist and should be accepted.

There are a few key differences between data warehouses and data lakes. Here’s what K–12 IT leaders should consider when looking at how they might address their schools’ data storage needs. What Are ...