Data Cleaning, Exploration, and Insights
-
Updated
Jul 24, 2024 - TSQL
Data Cleaning, Exploration, and Insights
SQL Analytics Case Studies
A modern data warehousing solution that consolidates and transforms ERP/CRM data into an analytics-ready format using medallion architecture. Implements data cleansing, integration, and modeling for actionable business insights. Includes comprehensive documentation for stakeholders and analytics teams.
This project is a complete SQL Data Warehouse built from official UN Tourism statistics (UNWTO), covering global tourism trends from 1995 to 2022.
A professional-grade Sales Data Mart built with SQL Server. Transforming disparate CRM & ERP data into a high-performance Star Schema through robust T-SQL ETL pipelines, advanced business analytics, and automated reporting.
Building a modern data warehouse with SQL server, including ETL processes, data modeling, and analytics.
📊 Build a robust data warehouse and analytics solution to transform raw data into actionable insights using industry best practices.
Building a full-cycle data warehouse using Microsoft SQL Server following Medallion Architecture (Bronze - Silver - Gold) to support analytics and reporting. Applying the concepts of ETL processes, integrating CRM and ERP raw data sources, perform data cleansing and enrichment, and data transformation into business-ready data models for insights.
Add a description, image, and links to the data-cleansing topic page so that developers can more easily learn about it.
To associate your repository with the data-cleansing topic, visit your repo's landing page and select "manage topics."