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 ...

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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping ...

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 ...

If there is one thing all airlines want to make more use of it is their customer data. Unlocking the value of this unique asset, and in some cases even finding out where it exists inside the airline, ...