As data warehouses are purpose-driven, it is critical to consider business needs and identify the data sources that should be connected to the central repository. nterprises should follow the ...

Data warehouses are convenient in the sense that they’re well understood. Plenty of people are trained to use them, and they are already in use. Right problem, wrong solution.

In a data mesh, the warehouse still has a role, but it becomes just another consumer of data rather than the oracular source of truth. “We don’t want to go back to ground zero and rebuild ...

Cloud data warehouses have emerged as the go-to repositories for amassing huge amounts of data and running advanced analytics and AI upon it. This is great news for customers, who no longer must worry ...

The data warehouse is used as a single source of truth for an organization's data. But before you choose a data warehouse vendor, there are some things to consider, including your business needs.

Data warehousing is an essential element for modern businesses focused on data-driven decision-making. However, it presents distinct challenges that can impede effective implementation and ...

“Data warehouse modernization is about improving price/performance for customers, providing them with the fastest possible analytics and insights where and when they’re needed, ...

It can even speed up the identification of siloed data sources and the migration of that data from legacy systems to the data warehouse. Duplicate, erroneous, and missing data can be identified ...

For decades, data warehouses and lakes have enabled companies to store (and sometimes process) large volumes of operational and analytical data. While a warehouse stores data in a structured state ...

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 ...