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 ...

Data warehousing can be an expensive project with high costs and a great return on investment — if executed properly. Data warehousing is a process that connects several databases together in a single ...

Healthcare organizations have enterprise-wide data sets of which data governance can be time-consuming and labor intensive. Yet, healthcare needs to move towards the 21st century in terms of data ...

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 ...

A data warehouse is a subset of an organization's data that contains only essential information that supports strategic goals. This is often stored as raw data that has been organized in a way to make ...

At the MarTech Conference, we were told to design for change, decide with context and collect consent at the point of capture. The post Building a stack for the dominant forces of data and AI appeared ...

Data centres have been growing in size for years. A new term, hyperscale, was coined by the tech industry to describe sites ...

Against the backdrop of rapid advancements in IoT technology, XCMG Hanyun Technology Co., Ltd. applied for a patent in June 2025 titled "An Integrated Lake-Warehouse IoT Time-Series Data Storage ...

As One Hitachi, the company is strengthening its portfolio to harness domain expertise and accelerate AI-driven innovations that transform social infrastructure. The Hitachi Group has agreed to ...

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 ...