When I listed 5 data management technologies you probably should know more about, two of them were data warehouse appliances and columnar DBMS. And that was before today’s announcement that Microsoft ...

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 ...

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, ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...

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 ...

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 ...

As data warehouses evolve to meet real-time demands, how we manage database performance must also evolve, expand, and become more agile. Your organization will need administrators who understand not ...

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 ...

If you’re looking for a quick and easy way to leverage ana­lytics focused on a specific topic, look no further. During his BLUEPRINT 4D session, Patrick Wheeler, product management, Oracle Database, ...

Today databases and data warehouses are not only systems for reliable storage and processing of service information. One of the most attractive features of big data technologies is the cost of storing ...