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 ...

Building a massive data warehouse can be daunting. This IT manager's guide on how enterprises can build an effective data warehouse, can help reduce the stress.

Data Warehousing is the storage of big data. Data mining is the analysis of the collected data in order to find trends in the ...

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.

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

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 ...

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 ...

Airlines are following other industries into warehousing their valuable customer data in one place to make the best possible use of it to drive loyalty and improve ...