Data warehouse technology is shifting to the cloud with much ballyhoo around new entrants. But do they have the muscle to compete with the tried, tested and surviving incumbents?

Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

There once was no alternative to building a data warehouse on-premise, but with cloud providers targeting analytics, building data warehouses on-site is looking obsolete.

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.

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.

How to Make a Data Warehouse Project Work Put simply, in order to get data ware­housing right, businesses must break down data silos, retire legacy tools, auto­mate manual processes, and accelerate ...

With the volume of enterprise data growing at a breathtaking pace, the adoption of modern infrastructure solutions, like data warehouses, has become inevitable.

Yellowbrick Data Warehouse: Yellowbrick Data Warehouse is a modern, massively parallel processing, analytic database designed for the most demanding batch, real-time, interactive, and mixed workloads.

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes.

Data quality is paramount in data warehouses, but data quality practices are often overlooked during the development process.