Buidling a modern data warehouse with SQL Server,including ETL processes,data modelling,and analytics.
#Project Overview
This project focuses on building a modern data warehouse using SQL Server to consolidate sales data. The goal is to enable analytical reporting and informed decision-making for business stakeholders.
#Objectives
Develop a Data Warehouse: Build a consolidated data model using SQL Server that integrates sales data from multiple sources.
--Data Quality: Ensure that data is cleaned and any quality issues are resolved before analysis.
--Integration: Combine data from CSV files into a single, user-friendly model optimized for analytical queries.
--Power BI Analytics and Reporting (Data Analytics): Develop SQL-based analytics to deliver detailed insights into customer behavior, product performance, and sales trends.
--Scope: Focus solely on the latest dataset; no historical data iterations are needed.
--Documentation: Provide clear documentation of the data model to support both business stakeholders and analytics teams.
#license: this project is licensed under MIT
#About me: Hi i am Rohan.J data‑analytics enthusiast with a knack for turning raw data into actionable insights. Recently, I completed a data‑analytics project that streamlined a key business metric, delivering a measurable impact on decision‑making. Complementing my practical work, I’ve honed my problem‑solving skills by tackling over 200 LeetCode challenges, consistently sharpening my ability to dissect complex problems and devise efficient solutions. I’m passionate about applying analytical rigor to real‑world scenarios and am always on the lookout for new datasets and collaborative opportunities.