Tag: dimensional modeling

The primary purpose of a data warehouse is to serve as a centralized repository for historical data that can be quickly queried for BI reporting and analysis. Data modeling—which defines the database schema—is the heart of your data warehouse. Learn […]

To begin our exploration of automated dimensional modeling, it’s essential to first gain an understanding of dimensional modeling. Dimensional modeling is among the most preferred design approaches for building a data warehouse. First introduced in 1996, Kimball’s dimensional data models […]

In 1996, Ralph Kimball introduced the world to dimensional modeling for building data warehouses. Designed to optimize databases for storage and faster data retrieval, the bottom-up approach became quite popular. Thus, organizations increasingly started using a dimensional data model to […]

Data is perhaps the most valuable resource for any organization. And leveraging it the right way can be critical to success. To meet your BI initiatives, you need an agile, responsive data warehouse architecture that can deliver accurate, trusted insights […]

What is Forward Engineering? In data management, forward engineering specifically refers to creating a physical database schema based on a pre-defined data model. It’s essentially translating the blueprint of your data (the data model) into the actual structure of the […]