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 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.

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.

Analisis SQL (PostgreSQL) atas 5,8 juta penerbangan domestik AS 2015: maskapai paling andal, penyebab delay, dan bandara/bulan yang perlu dihindari

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

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

SQL Views, Temp Tables, Windows Functions

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

This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis.

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

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.

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

Compute the top N viewed Wikipedia pages for a given date

Provide answers to business requirements using SQL

Data Analyst Portfolio Project : SQL data exploration

Indian Census Data Analysis - SQL