Dapper.Linq

This project is a Data Warehouse built using SQL, incorporating ETL processes, Data Modeling, and Analytics. It follows the Medallion Architecture (Bronze, Silver, and Gold layers) to ensure efficient data ingestion, transformation, and reporting. The goal is to create a scalable and optimized data pipeline for insightful analytics.

This repository contains text files that cover various concepts and functionalities in MySQL. Each file provides detailed explanations and examples, making it a valuable resource for learning and reference.

Using Mysql to better estimate the prices of different properties.

Explores an E-Commerce dataset and generate various analytics and insights from customers' past purchase behavior.

SQL Views, Temp Tables, Windows Functions

Advanced use of Windows functions in MySQL and PostgreSQL

Air Cargo Analysis- Effective way of Writing Query to Find the Insites from the Data

Data Analyst Portfolio Project : SQL data exploration

Indian Census Data Analysis - SQL

This 2011 census SQL project employed COUNT, SUM, AVG, GROUP BY, HAVING, ORDER BY, LIMIT, RANK(), and LIKE for aggregations, analyses, and filtering. It offers a concise overview of India's demographic trends, showcasing SQL's versatility for data exploration.

Compute the top N viewed Wikipedia pages for a given date

Provide answers to business requirements using SQL