The data warehouse player has come up frequently through my various case studies in a past life. Its data mining customers include Discover Financial Services, Lowe's, Harrah's Entertainment, Wells ...

To fit into modern analytics ecosystems, legacy data warehouses must evolve—both architecturally and technologically—to deliver the agility, scalability, and flexibility that business need to thrive ...

This week, Oracle announced a major extension of its cloud-based Autonomous Data Warehouse service that transforms it into an end-to-end offering with a heavy dose of self-service for business users.

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 ...

It has been widely documented - data is growing at astronomical rates. The amount of data your organization has is less important than how the data is being used. Is data growth hindering your ...

According to Gartner, Inc., CIOs need to familiarize themselves with nine key trends in data warehousing and how they will impact the cost-benefit balance of technology deployed to deliver business ...