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 ...

Since the 1990s, organisations have gathered, processed and analysed business information in data warehouses. The term “data warehouse” was introduced to the IT mainstream by American computer ...

We asked experts to help us shed light on the differences between a data lake and a data warehouse and what that means for your organization. Big data is here, and it’s getting bigger by the day. With ...

What happens when data warehouses, the large data repositories companies have built and managed for years, are combined with autonomous capabilities of the future? Oracle’s new Autonomous Data ...

It should surprise no one that the cloud is forcing the data warehouse to adapt and evolve. In August, I wrote about it an article entitled “What Should the Data Warehouse Become in the Cloud?,” where ...

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 ...

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 ...

The benefits of a centralised and efficient data warehouse are obvious, but it's even more obvious that building one can be a right royal pain in the back end. Prior failures with building data ...

Data warehousing solutions enable users to process their organizational data and gain more insights from their data analysis. But with so many different types and vendors of data solutions on the ...