Here, we've split the most important discrepancies between database and data warehouse so you can highlight all aspects and select the one that meets the requirements of your data structure situation.

Oracle Autonomous Data Warehouse Cloud fully automates performance, provisioning, scaling, patching, backing up, and failover.

As my understanding of the perfect cloud data warehouse and the perfect data supply chain matures, I will revisit this evaluation. Please reach out to me of you want to share your experience.

To build a data warehouse, data must first be extracted and transformed from an organization’s various sources. Then, the data must be loaded into the database in a structured format. Finally, an ETL ...

Recharge your knowledge of the modern data warehouse Data warehousing is evolving from centralized repositories to logical data warehouses leveraging data virtualization and distributed processing.

Data warehouse software is essential for companies looking to streamline their data centers or implement business intelligence software. Business intelligence software stores and analyzes huge volumes ...

With the new release, Oracle is expanding the appeal of the autonomous data warehouse to add end-to-end self-service experiences geared for business users.

Data warehouse technology is shifting to the cloud with much ballyhoo around new entrants. But do they have the muscle to compete with the tried, tested and surviving incumbents?

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 ...

Oracle CEO Larry Ellison today introduced the company's first hardware products, a joint effort with Hewlett-Packard, to re-architect large database and storage configurations and gain whopping ...