As the cloud wars heat up, industry clouds are becoming a focal point. Capturing entire enterprise workloads is the biggest challenge ahead for cloud vendors. It might very well decide the fate of ...

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 ...

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

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, ...

Analytic databases are the principal engines driving business intelligence, delivering operational data into reports, dashboards and ad-hoc queries. Analytic databases are the principal engines ...

As we have pointed out before, large enterprises have to deal with a different kind of scale issue than the hyperscalers, and in many ways, the hyperscalers have it easier. The hyperscalers have ...

Paige Roberts, Vertica open source relations manager, provided a contemporary definition of the data warehouse and its "deploy anywhere" orientation during her presentation at Data Summit Connect 2021 ...