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 ...
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 ...
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 ...
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 ...
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.
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 ...
Looking to make up for lost time in its use of business intelligence technology, The Home Depot Inc. within 90 days plans to launch a 60TB Web-accessible data warehouse that will initially be used for ...
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 ...