---
title: "Discussion on \"🧱 Data Modeling Explained: Fact Tables, Dimensions, and Schema Design for Modern Data Warehouses (2025 Edition)\" | Hashnode"
description: "Discussion on \"🧱 Data Modeling Explained: Fact Tables, Dimensions, and Schema Design for Modern Data Warehouses (2025 Edition)\". “A strong data model is like a blueprint — it defines how data flows, connects, and tells your business story.”\n- Amanpreet Singh, Data Solutions Arch"
url: "https://hashnode.com/posts/data-modeling-explained-fact-tables-dimensions-and-schema-design-for-modern-data-warehouses-2025-edition/68fe5c41c79f484c4d8a5869"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [🧱 Data Modeling Explained: Fact Tables, Dimensions, and Schema Design for Modern Data Warehouses (2025 Edition)](https://databyamanpreet.hashnode.dev/data-modeling-explained-fact-tables-dimensions-and-schema-design-for-modern-data-warehouses-2025-edition?utm_source=hashnode&utm_medium=feed)

“A strong data model is like a blueprint — it defines how data flows, connects, and tells your business story.” - Amanpreet Singh, Data Solutions Arch

Oct 26, 2025 · 12 min read · databyamanpreet.hashnode.dev  
Read the article

-   [#hashnode](https://hashnode.com/tag/hashnode)
-   [#data-science](https://hashnode.com/tag/data-science)
-   [#data-structures](https://hashnode.com/tag/data-structures)
-   [#data-engineering](https://hashnode.com/tag/data-engineering)
-   [#etl](https://hashnode.com/tag/etl)
-   [#datamodelling](https://hashnode.com/tag/datamodelling)
-   [#solutionarchitect](https://hashnode.com/tag/solutionarchitect)
-   [#python](https://hashnode.com/tag/python)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#ai](https://hashnode.com/tag/ai)

## Written by

[Amanpreet Singh](https://hashnode.com/@amanpreetsingh)

@amanpreetsingh · India

  
[View profile](https://hashnode.com/@amanpreetsingh)

Data Solutions Architect | Designing Scalable ETL Pipelines & Cloud Data Platforms | Databricks | Airflow | GCP | Spark

Databricks Certified Professional Data Engineer and Google Cloud Certified Professional Data Engineer with 7+ years of experience in designing scalable, cloud-native data solutions. Specialized in ETL/ELT pipeline development, data modeling, and data governance, with a strong focus on building high-performance data platforms that ensure quality, reliability, and observability across the lifecycle. Passionate about transforming raw data into actionable insights through well-architected, automated, and production-ready pipelines that bridge engineering precision with business value.

## Responses

Markdown supported · ⌘↵ to post

No responses yet.
