Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

Data warehouse design is not a short-term investment and it’s important to understand that the process will rarely show results in a limited time frame. By looking toward the future, you’ll be more ...

Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

A management guide of how enterprises can build an effective data warehouse. The term data warehouse is an ambiguous one. This is because applied in different contexts, data warehouses can take on ...

A data warehouse is a central repository of corporate data derived from operational systems and external data sources. The main function of a data warehouse is to support strategic business decisions ...

Preparing to take maximum advantage of all of the new data and analytical capabilities rapidly arriving on the computing scene will mean that most businesses have to rethink how they assemble, distill ...

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.

A data warehouse is a subset of an organization's data that contains only essential information that supports strategic goals. This is often stored as raw data that has been organized in a way to make ...

I work at a startup and our data is very messy at the moment, as you might imagine. We have a few product level transactional databases, but no central database to store it all in a useful way for ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. There’s a trend in IT firms. CEOs and evangelists like to ...