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: 2026-07-07 00:26:23 UTC
- JSON Representation
https://github.com/juanjosemayorga/teslo-shop-14
A modern and functional clone of the official Tesla apparel store, rebuilt from scratch using Next.js to deliver a fast, efficient, and scalable user experience.
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https://github.com/lancewalk87/cls-cloud-sync-ruby-on-rails
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https://github.com/dgisolfi/cmpt308-gisolfi
SQL files for CMPT 308 Database Management
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https://github.com/an4pdm/data_analysis_escolar
Projeto de BD com dados fornecidos pelo "Portal de Dados Abertos" , feito com o intuito de praticar minhas habilidades em SQL.
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https://github.com/checco9811/data-engineering-bootcamp-homework
Homework solutions for DataExpert.io data engineering bootcamp
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Bienvenido a mi Perfil
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What is the store’s average days for a customer to pay based on the return date of the film and the payment date. What is the customer’s average? Show a list of customer names, store id, customer’s average day to pay, and store’s average day to pay. Filter the results by customers that have an average days out greater than the stores average. Order the results by the customer ID. (Hint: stores have inventory, inventory have rentals, and rentals have payments.) Please add the function NOW() and give it a column name of your first name and last name separated by a underscore (this should be the first output column).
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A relational database project for Lviv Croissants, designed to manage orders, customers, inventory, and staff, optimizing restaurant operations with SQL. 🥐☕📊
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https://github.com/aditiagrawal04/netflix-insights-mysql-
SQL-based analytical project exploring Netflix’s dataset to extract insights about content type, genre, ratings, country-based distributions, and release trends. Ideal for understanding business intelligence using SQL.
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Ask your database questions in plain English. Get back real SQL, a safety check, and a results table.
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https://github.com/candeagainn/sequelize-puppeteer
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