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, ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Targetbase, a marketing agency, has migrated to the Oracle Exadata Database Machine, resulting in a higher level of service at a lower total cost of ownership. In March 2010, the agency moved its ...