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.

The Impala-based Cloudera Analytic Database is now Cloudera Data Warehouse. And on the PaaS cloud side, it's Altus Data Warehouse. No more euphemisms. Cloudera's in the DW race.

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

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 ...

To build a data warehouse, data must first be extracted and transformed from an organization’s various sources. Then, the data must be loaded into the database in a structured format. Finally, an ETL ...

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.

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.

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.