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: 2026-07-03 00:26:03 UTC
- JSON Representation
https://github.com/itrummer/databyvoice
Web site summarizing our work on voice query interfaces
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https://github.com/aliabbos-ashurov/veriql
Fluent and annotation-based SQL query verification library for Java integration and unit tests.
java query-verification sql testing-library
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https://github.com/c0m371/restsql
RestSQL: A lightweight .NET tool that turns SQL queries (defined in YAML) into ready-to-run REST endpoints. Works standalone or as a library, supports transactions, nested JSON output, and multiple database providers.
asp-net-core csharp database dotnet generation mysql oracle postgresql rest-api sql sqlite sqlserver yaml
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https://github.com/tompinataro/React-Image-Gallery
Created images with matching descriptions appearing as reversible cards.
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https://github.com/ogunerkutay/basic-sql-queries
A collection of basic SQL queries for data analysis, with detailed comments for each query. Great for beginners learning SQL or anyone looking to improve their SQL skills.
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https://github.com/valeriogc/db-videogames-query
Exercises about SQL queries
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https://github.com/rminelli/sql-server-avoid-accidental-drop-database
Script to avoid accidental deletion of database
database-management sql sql-server sql-server-2016 tsql
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https://github.com/sankalp130/credit_card_financial_dashboard
Credit card financial dashboard using Power BI and SQL for transaction analysis and insights.
data-expressions data-modeling dax etl mysql-database power-query-editor powerbi sql
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https://github.com/akshayboddhul/data-engineering-commands
🔧 Essential Data Engineering Commands - Interactive quick reference with 142+ commands for Linux, Bash, Git, Databricks, Curl, Docker, SQL & more. Copy-paste ready with search & dark mode.
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https://github.com/jmofuture/employees_analysis
Análisis de datos que explorar y visualizar atributos de empleados (como sueldo, género) utilizando herramientas como SQL y Tableau.
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https://github.com/shankarmattigatti/leetcode
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Application structure for the new Nebula api project.
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https://github.com/thomasjvu/leetcode
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https://github.com/virajbhutada/hr-analytics-excel-sql-tableau-powerbi
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/shivanshkumar760/sqlyapper
SQLYAPPER is a web application that helps users generate SQL queries using the power of GPT models. Simply provide a natural language description of the desired query, and SQLYAPPER will translate it into accurate SQL code.
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This project involves analyzing and understanding a publicly available dataset, "A Global Database of COVID-19 Vaccinations". It includes designing a conceptual model for storing the dataset in a relational database, implementing and hosting the database, and developing SQL queries to meet specific data analysis requirements.
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https://github.com/dbt-labs/hamburg-dbt-workshop
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https://github.com/sqlthinking/sqlthinking.github.io
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SQLInjection
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CRUD sobre una cafebrería (Librería - Cafe) conectada a SQL Server.
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JavaScript (Web + Node) Client for Seamless.cloud
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Here I'll update folders with all the knowledge that I've learned. Here's is the index (Python, Java, C#, JavaScript, HTML, CSS, React, SQL, NoSQL)
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https://github.com/parv-bhargava/query-quirks
"QueryQuirks" is a GitHub project that focuses on the peculiar aspects or "quirks" of database queries by analyzing the performance of databases like SQL, MongoDB, Neo4J, and Hadoop. It benchmarks these systems using Python, focusing on efficiency metrics such as time, memory, and CPU usage, and offers insights for database optimization.
benchmarking hadoop mongodb neo4j python sql
Last synced: 10 Apr 2026
https://github.com/gaurid14/live-sql-query-explainer
JetBrains plugin to explain SQL queries inline with visual and textual breakdowns. Ideal for learning and debugging SQL.
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https://github.com/catalinaionescu/farmacia_inimii
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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https://github.com/filsan-musa/project-iot_malware_identification
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https://github.com/swethasridhar0509/cs50-sql
This repository contains my solutions to the CS50's Introduction to Databases with SQL course.
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Deprecated
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The following repository retrieves sensor data (acceleration and strains) from both local and cloud databases. It processes the data using classes from another repository called Modal Engine for spectral analysis, modal analysis, and signal processing.
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https://github.com/triilok10/chatbot
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