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?

Hewlett-Packard thinks it can help companies--and not just the biggest and most sophisticated ones--do a lot better. Over the past few months, HP has tiptoed into the data warehousing market with ...

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.

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often ...

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.

The first question that mid-sized companies have about BI data warehouse is about the costs involved and more importantly, the return on this investment, besides the benefits it assures.

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 ...

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

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 ...

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