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 ...

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 ...

An in-depth look at how database virtualization takes the sting out of database migrations. Written by eWEEK content and product recommendations are editorially independent. We may make money when you ...

To fit into modern analytics ecosystems, legacy data warehouses must evolve—both architecturally and technologically—to deliver the agility, scalability, and flexibility that business need to thrive ...

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 ...

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.

In March of this year, Oracle delivered the world’s first self-driving database—a technology leap that’s been decades in the making, and that arrives just in time for the pressures and headaches of ...

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, ...

And knits a graph DB out of LinkedIn cast-offs Microsoft is extending its Fabric cloud-based data platform by including ...

The Boston College Enterprise Data Warehouse (EDW) supports reporting and analytics over a broad spectrum of University data. Developed in 2003, the EDW has advanced in terms of content, information ...