{"repo":"Rudra-G-23/SQL-Data-Warehouse-Project","free":true,"listed":false,"github":"https://github.com/Rudra-G-23/SQL-Data-Warehouse-Project","clone":"git clone https://github.com/Rudra-G-23/SQL-Data-Warehouse-Project.git","description":"This repo provides a step-by-step approach to building a modern data warehouse using PostgreSQL. It covers the ETL (Extract, Transform, Load) process, data modeling, exploratory data analysis (EDA), and advanced data analysis techniques.","language":"PLpgSQL","stars":12,"topics":["data-analytics","data-cleansing","data-lakehouse","data-science","data-structures","data-warehouse","data-warehouse-architecture","datawarehousing","etl","etl-pipeline"],"license":"MIT","category":"data-pipelines","readme_excerpt":"🌟 Modern Data Warehouse & Analytics End-to-End Project 👋 Hello, Data Points! - My name is Rudra Prasad Bhuyan ! 😄 - I am a Kaggle expert and a Google Certified Data Analyst. Welcome to this Modern Data Warehouse & Analytics End-to-End Project project using PostgreSQL ! 🎯 🪄Modern Data Warehouse & Analytics End-to-End Project overview This repository provides a step-by-step approach to building a scalable, efficient, and analytics-ready data warehouse . It covers: ✅ ETL Pipelines (Extract, Transform, Load) ✅ Data Modeling (Star Schema) ✅ Exploratory Data Analysis (EDA) ✅ SQL-based Reporting & Analytics ✅ Advanced-Data Analytsis & Reporting 📝 Project Notion Page --- 🏗️ Data Architecture Overview The project follows the Medallion Architecture with three layers: 📌 Bronze Layer (Raw Data) – Stores data directly from the source (CSV files). 📌 Silver Layer (Cleansed & Transformed Data) – Data is cleaned, structured, and normalized. 📌 Gold Layer (Business-Ready Data) – Optimized for analytics and reporting using a star schema . 🌐 Architecture Diagram: --- 📖 Project Overview 🔍 Key Features & Learnings: 🔹 SQL Development – Writing optimized SQL queries for analytics. 🔹 Data Engineering – Designing ETL pipelines for seamless data movement. 🔹 Data Architecture – Structuring a robust and scalable data warehouse . 🔹 ETL Pipeline Development – Extracting, transforming, and loading data efficiently. 🔹 Data Modeling – Implementing fact and dimension tables . 🔹 Data Analytics","default_branch":null,"files":null,"tree":[],"storefront":"/r/Rudra-G-23","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Rudra-G-23/SQL-Data-Warehouse-Project/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}