Data warehouse architectural design Types of data models and dimensions Best practices for implementing and managing enterprise data warehouse in 2022 What is a data warehouse?

For years, the company used an on-premises data warehouse, which is a structured repository of data drawn from multiple sources and used for business intelligence analysis.

As companies begin to move data to cloud data warehouses and data lakes, traditional data warehouse solutions are becoming less desirable. But these new data solutions for the cloud come with a ...

AI-driven analytics platform Rasgo has announced the launch of Rasgo AI, a self-service analytics solution that integrates a GPT (generative pre-trained transformer) into enterprise data warehouse ...

A data warehouse in the cloud represents a massive center of gravity for the rest of the enterprise. Applications connected to the data warehouse will simply follow to the same cloud over time.

ERP projects are inherently complex with many possible starting points, but regardless of the chosen path, delaying data governance until after go-live is a costly mistake. Rather than treating ...

Snowflake and Anodot announced a strategic partnership that brings predictive analytics to Snowflake's enterprise data warehouse. With this integration, customers can discover anomalies in data ...

How an enterprise data warehouse helps healthcare organizations tackle Medicare pressures The answer to this question is straightforward: Establish a healthcare enterprise data warehouse.

In the first half of 2025, SC Codeworks’ freight activity data revealed the disruptive impact of tariffs on shipping patterns ...

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 ...