windows-function

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.

Aprendizado documentado em SQL Server para Data Analytics | 200+ exercícios LeetCode/HackerRank + Curso) | Window Functions, CTEs, Query Optimization.

SQL analysis of restaurant consumer behavior using joins, CTEs, subqueries and window functions.

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.

HR Management System — MySQL project with schema, sample data, and 17 solved business queries (joins, subqueries, window functions, CTEs)

SQL analytics project using MySQL for e-commerce data

Applying SQL knowledge from the book "Learning SQL" from Alan Beaulieu

Building DWH , Include ETL , Processing, Data Modeling and Analytics

Pure-SQL analysis of 3,925 global data science job listings using PostgreSQL window functions and CTEs to uncover salary patterns by country, experience level, and role

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

SQL Views, Temp Tables, Windows Functions

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.

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

Using Mysql to better estimate the prices of different properties.

Análise Avançada com SQL

Data Analyst Portfolio Project : SQL data exploration

Indian Census Data Analysis - SQL

Advanced SQL project solving real-world retail business problems using SQL and business analytics.

This project explores a Spotify streaming dataset using structured SQL queries. It showcases how to analyze music listening behavior across platforms, artists, albums, time, and user interactions (e.g., shuffle, skips).