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 ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. In a move meant to shake up the data warehousing market, ...

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.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

We recently looked at the idea of the data lake, so now it’s time to head downstream and look at data warehouses. We’ll define data warehouses, look at the data types they comprise, the storage they ...

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 ...

When Gartner Inc. placed Aster Data Systems Inc. firmly in the "Visionaries" section of its data warehousing "Magic Quadrant" last month, it seemed like faint praise. Although Aster has gained ...