Data warehouse design is not a short-term investment and it’s important to understand that the process will rarely show results in a limited time frame. By looking toward the future, you’ll be more ...

When it comes to designing a data warehouse for your business, the two most commonly discussed methods are the approaches introduced by Bill Inmon and Ralph Kimball. Debates on which one is better and ...

MessageGears, the first data-native cross-channel marketing platform, today announced the launch of its reimagined journey builder. The new visual canvas is built entirely on an organization's own ...

If you’re looking for a quick and easy way to leverage ana­lytics focused on a specific topic, look no further. During his BLUEPRINT 4D session, Patrick Wheeler, product management, Oracle Database, ...

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 ...

The "data" part of the terms "data lake," "data warehouse," and "database" is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should they be stored in a ...

With many organizations having established data warehouse solutions there comes a point where the solution needs to be extended in an unusual direction. This challenge presented when a European mobile ...

Microsoft Build 2026 demonstrates how data, AI, and ERP are converging as enterprises build the infrastructure and ...

Companies are shifting towards faster, smarter and more sustainable productivity. Global supply chain warehouse professionals are being drawn in by the promise of Industry 4.0 as an industrial ...

A data warehouse lies at the foundation of any business intelligence (BI) system. But if this foundation is flawed, the towering BI system cannot possibly be stable. Given BI’s importance as a ...