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 ...

The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

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 ...

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 ...

As businesses push to reduce the data latency between analytical systems and operational systems, data warehouses begin to take on more of the character of a transactional system. For a data warehouse ...

Lea noted that Teradata has been focusing on an integrated data warehouse stack that includes hardware, software and an optimized database, I/O and memory. "But the real value is that we're 100 ...