How does a data warehouse work? A data warehouse is a system that stores and analyzes data from multiple sources. It helps organizations make better decisions by providing a centralized view of their ...

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

As companies implement identity resolution solutions, many are left with the challenge of needing to merge offline customer ...

Designing your data warehouse Let’s start at the design phase. When planning your design, the vision for your new data warehouse is best laid out over an enterprise data model (EDM), which consists of ...

The Boston College Enterprise Data Warehouse (EDW) supports reporting and analytics over a broad spectrum of University data. Developed in 2003, the EDW has advanced in terms of content, information ...

One of the most important shifts in data warehousing in recent times has been the emergence of the cloud data warehouse. Previously, setting up a data warehouse required a huge investment in IT ...

Cloud-native Snowflake seeks to overcome the challenges of previous generations of data warehouse technology and embrace big data. How is its approach unique?

Use cases such as these have become more common in the era of big data. In the “old days,” most data came from rigid, premise-based systems backed by relational database technology. Although these ...

With the new release, Oracle is expanding the appeal of the autonomous data warehouse to add end-to-end self-service experiences geared for business users.

The company had used a central data warehouse for data analysis since its early days, but scalability eventually became a problem.