dimension — 3 Technical Articles

Feb 9, 2026 · Databases

Mastering Data Warehouse Modeling: Entities, Dimensions, Grain, and Pitfalls

This article provides a comprehensive guide to data warehouse modeling, covering the distinction between entities and dimensions, how to define grain and merge scope, fact integration, the special role of the DWS layer, business module and subject‑area division, and practical solutions to common modeling pitfalls.

EntityModelingPitfalls

0 likes · 13 min read

Mastering Data Warehouse Modeling: Entities, Dimensions, Grain, and Pitfalls

Model Perspective

Jul 27, 2022 · Fundamentals

What Makes a Vector Space? Exploring Subspaces, Dimensions, and Solution Sets

This article defines vector spaces, explains the criteria for subspaces, describes how dimensions are determined via bases, and examines the properties of solution vectors and fundamental solution sets of homogeneous linear systems, illustrating the underlying linear algebra concepts.

dimensionlinear algebrasolution set

0 likes · 4 min read

What Makes a Vector Space? Exploring Subspaces, Dimensions, and Solution Sets

Hujiang Design Center

Sep 22, 2017 · Operations

Unlocking Key Metrics: How Operations Designers Use Funnels, Dimensions, and Measurements

This article explains how operation designers can navigate abundant data like PV, UV, and conversion rates by defining user behavior paths, combining key metric ratios, applying funnel analysis, and distinguishing dimensions from measures to validate and improve product performance.

Data AnalysisKey Metricsdimension

0 likes · 9 min read

Unlocking Key Metrics: How Operations Designers Use Funnels, Dimensions, and Measurements