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 ...

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 ...

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

Understanding The Hybrid Cloud Model. At its core, hybrid cloud computing enables seamless data exchange and workload mobility between cloud environments and on-premises data centers.

Essentially, when data assets are already residing in existing legacy architecture and driving multiple business applications, migration can be expensive and time-consuming, and create a material ...

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 ...