Analysis of Class 'E' liquor licensees' sales data (24M+ rows) using Dimensional Model, with data profiling via Alteryx, integration via Talend, and visualizations in Tableau.

This project demonstrates an ETL pipeline that processes NOAA's fishing survey data, then makes it available for analysis through an interactive web app.

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.

This project involves creating a dimensional data model using MySQL Workbench for a car repair shop’s operations in western Canada by examining a sample invoice,

The project involves creating a data model for HNG Hire, implementing it in MySQL, and building a Power BI dashboard to display hiring statistics.

OLAP in TSQL and Python

A quick dimensional modelling case for simple sales data in dbt + setting up PostgreSQL in Docker

Criação de um Data Warehouse (DW) utilizando modelagem dimensional em um esquema estrela.

compile-time dimension conversion and checking + support fractional dimension

This repository contains the end-to-end pipeline for building a data warehouse for a real estate management company. The pipeline includes data generation, ETL process, creation of star schema dimensions and fact table, visualization using Power BI, and automation with Pabbly Connect.

Developed a robust ETL pipeline for Next Cola Pvt. Ltd data which extracts data from many different OLTP sources, converts them into dimensions and facts and load into datawarehouse for analytical workload.

python bindings for xo-unit

This repository is a place for the Data Warehousing course at the Information Systems & Analytics department, Santa Clara University.

Data Engineering on GCP and Mage AI

Data quality analytics prototype linking faceted classification with dimensional data visualisation.

Project involves merging customer reviews from Fudgemart and FudgeFlix to create a unified data warehouse using Kimball's approach. Utilizing Power BI, it aims to extract actionable insights for Fudge Inc., guiding strategic decisions, product enhancements, and market expansion based on comprehensive business intelligence.

Building Dimensional Model and SQL Analysis in SnowflakeDB

Source code for the Kimball-style date dimension generator dimdates.com.

Dimensional modelling using SQL Server and SSAS cube (tabular) creation