A data warehouse is defined as a central repository that allows enterprises to store and consolidate business data extracted from multiple source systems for the task of historical and trend ...

If data pipelines and streams are the future, why are we still thinking of data as static?

As companies embrace digital trans­formation across the enterprise, it is data and the effective use of it that determines whether new technologies such as AI, auto­mation, and analytics will be ...

Centralized data warehousing remains a powerful, proven approach to managing and using data. While data mesh has generated excitement as a trendy new architecture, its practical challenges—silos, ...

Data warehouse proponents cite cloud-native architectures as giving them the scale, and multimodel data support enabling them to support the variety associated with data lakes.

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the ...

What is the future of data warehousing with relation to the cloud? This question was originally answered on Quora by Christopher Lynch.

To build a data warehouse, data must first be extracted and transformed from an organization’s various sources. Then, the data must be loaded into the database in a structured format. Finally, an ETL ...

Has the traditional data warehouse finally reached the end of its life? If so, what will follow it? Will it be a hybrid? We find out.