This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...

A reader asks what are the different kinds of data in a data warehouse other than FACTS and DIMENSIONS? The first one is what I call the sub-dimensions (I do not know what others call them). A ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

When dealing with data, you may have to know the fact table vs dimension table differences. A fact table holds the data that needs to be analyzed, and a dimension table stores data dealing with how ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Yan, M. X. and Wang, H. L. (2026) Seismic Forward Modeling of the Lower Ordovician in the Northwestern Sichuan Basin. Journal ...

The Data Warehouse Developer must have a sound understanding of BI best practices, relational structures, dimensional data modeling, structured query language (SQL) skills, data warehouse and ...