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 analytics suite on a star-schema warehouse: exploratory analysis, magnitude and ranking breakdowns, time trends, cumulative growth, YoY performance, part-to-whole, and customer/product segmentation.
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.
Building DWH , Include ETL , Processing, Data Modeling and Analytics
SQL analytics project using MySQL for e-commerce data
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
Air Cargo Analysis- Effective way of Writing Query to Find the Insites from the Data
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.
HR Management System — MySQL project with schema, sample data, and 17 solved business queries (joins, subqueries, window functions, CTEs)
Data Analyst Portfolio Project : SQL data exploration
Indian Census Data Analysis - SQL
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).
End-to-end SQL project analyzing job market trends, salaries, experience requirements, companies and locations using MySQL.
Compute the top N viewed Wikipedia pages for a given date
Provide answers to business requirements using SQL
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