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 ...

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 ...

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.

Oracle Corp. early today debuted a new version of its Autonomous Data Warehouse platform that promises to simplify enterprise analytics projects, as well as reduce costs. Companies use the Autonomous ...

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 ...

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 ...

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 ...

Last year I took a much closer look at Oracle Cloud. I discussed how the traditional cloud boundaries are becoming blurred with the integration of Oracle Autonomous Database, which provisions ...

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 ...