Data analytics migration to the cloud is now underway and is making on-premises data warehouses obsolete. Topics Spotlight: New Thinking about Cloud Computing ...

After struggling with an on-premises data warehouse, the airlines has unlocked self-service reporting and the power of machine learning by migrating its data to the cloud. Topics Cloud Computing ...

Three-tier Architecture: A three-tier architecture design has a top, middle, and bottom tier; these are known as the source layer, the reconciled layer, and the data warehouse layer. This design ...

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 Deep Dive Into Data. Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon ...

Formed back in 2014 with first product released three years later, Yellowbrick has specialized at the high-performance end of the data warehousing spectrum that includes analytics of real-time ...

Falkonry launches first ML product that enables non-data scientists to create & deploy predictive operations in the cloud, on premises & on the edge.

The data warehouse architecture and the data lake design pattern have converged to ... data shows on-premises implementations still rule, with a majority of respondents (53 percent) reporting having a ...

“It’s also often uneconomical to transfer data-hungry applications off-premises,” says Fabio Gori, cloud solutions product marketing director for Cisco Systems. “If you have systems that need large ...