SQL
SQL stands for structured query language. It uses commands such as “select”, “insert”, “update”, “delete”. Some common relational database management systems that use SQL are: Oracle, MySQL, Microsoft SQL Server, PostgreSQL, etc.
- GitHub: https://github.com/topics/sql
- Wikipedia: https://en.wikipedia.org/wiki/SQL
- Created by: Donald D. Chamberlin, Raymond F. Boyce
- Released: 1986
- Related Topics: database,
- Last updated: 2026-07-10 00:26:02 UTC
- JSON Representation
https://github.com/tommasoazz/pastificio
Progetto realizzato per il corso di Basi di Dati dell'Università di Padova, A.A. 2018/2019
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https://github.com/bearwithtea/csc542-1
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Demo project for jooq-migration blog post
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https://github.com/tashi-2004/Database-Systems-DB
I've created files with solutions, named them with their following conventions and order. You can download, copy, and run them on a compiler or software for your information. There are no copyrights attached to these files; they are provided for educational purposes only.
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https://github.com/shridhar1504/sql-projects
The repository contains Structured Query Language (SQL) Scripts. The Multiple SQL scripts for various projects which includes data cleaning, data pre-processing, data processing, data transformation and insights gaining through Query Language.
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https://github.com/shivabajelan/sql-project-with-pubs-database
This SQL project uses the classic Microsoft Pubs sample database. It includes queries and scripts that explore core SQL techniques such as data retrieval, filtering, joins, aggregations, and subqueries. The aim is to provide clear, hands-on examples of SQL in action using a structured, well-documented dataset.
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This project analyzes sales data from Amazon to extract insights related to product pricing and reviews. It utilizes SQL for querying data and Google Drive for dataset and video storage.
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https://github.com/mggwxyz/logs-analysis-project
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OFFLINE COURSE`S PROJECTS & TASKS: PYTHON - FLASK - DJANGO - HTML - CSS - MYSQL - POSTQRESQL
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PostgreSQL and Structured Query Language :: Getting Started
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This repository is a comprehensive collection of resources and implementations dedicated to the field of Data Science. It serves as a platform for exploring various aspects of data science, ranging from data preprocessing and exploratory data analysis (EDA) to machine learning and deep learning.
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Explore a comprehensive HR Analytics portfolio showcasing data analysis and visualization skills. Featuring dashboards in Power BI, Excel, and Tableau, along with SQL queries for deeper insights. A holistic view of expertise in HR analytics, data visualization, and database management. Let's dive into the game of data insights!
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https://github.com/albingroen/narspelskortet
This digital solution for so-called "närspelskortet" is a open-source project created by Albin Groen but can be maintained by anyone that feels like it. Just my clone and make pull request ✌️
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https://github.com/bursasha/oracle-postgresql-projects
Advanced SQL, covering Oracle PL/SQL and PostgreSQL PL/pgSQL with phases on using procedures, functions, triggers, query optimizations, packages, and Docker server setup 💡
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Convert a CEL boolean expression to Squirrel SQL Builder for dynamic filtering capabilities.
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https://github.com/rakshitgupta9/leetcode-sql-50
This repo have solutions for the SQL-50 which are from leetcode
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MyWorkspace
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This repository contains a comprehensive database schema designed for a Hospital Management System to manage various aspects of healthcare operations efficiently. The project is built with a focus on scalability, data integrity, and ease of use for medical staff and administrators.
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JetBrains plugin to explain SQL queries inline with visual and textual breakdowns. Ideal for learning and debugging SQL.
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A web-based pharmacy data management system built with PHP, MySQL, HTML, and CSS. It supports secure user authentication, CRUD operations, and manages pharmacies, medicines, clients, suppliers, and production sites. Designed with scalability, usability, and security (SQL injection prevention) in mind.
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https://github.com/filsan-musa/course-sql_fundamentals_for_data_analysis
This course serves as an introduction to Structured Query Language (SQL) for the aspiring data professional, focusing on fundamental concepts and practical applications. The course incorporates interactive video lectures, as well as weekly course exercises to reinforce learning.
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