Skip to content
#

dimensional-modeling

Here are 55 public repositories matching this topic...

Modern serverless lakehouse implementing HOOK methodology, Unified Star Schema (USS), and Analytical Data Storage System (ADSS) principles on Adventure Works. Features programmatic model generation, event-enhanced Puppini bridges, and temporal resolution across DAS/DAB/DAR layers.

  • Updated Mar 31, 2025
  • Python

Analysis of New York State Police Department Arrests dataset. Created Dimensional Model for the provided dataset. Using Alteryx and Talend, built ETL pipelines to process, clean the data and create dimensions and facts in the destination database. Further, visualized the necessary details of the database using Tableau and PowerBI.

  • Updated Sep 19, 2022

A Data Warehousing project for retail sales using dimension modelling best practices with SCD type 2 on AWS Redshift. Utilizing AWS Lambda, Glue Workflows and Python Shell jobs to create and automate an ELT pipeline where batch data coming into S3 is loaded onto Redshift and necessary transformations are performed to meet requirements.

  • Updated Aug 10, 2023
  • Python

This project builds a cloud-based ETL pipeline for Sparkify to move data to a cloud data warehouse. It extracts song and user activity data from AWS S3, stages it in Redshift, and transforms it into a star-schema data model with fact and dimension tables, enabling efficient querying to answer business questions.

  • Updated Sep 9, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the dimensional-modeling topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the dimensional-modeling topic, visit your repo's landing page and select "manage topics."

Learn more