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/afireinside777/bar-register-flask-react-app
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https://github.com/nph1508/sql_for_ecommerce_analyzing_sales_customer_behavior_in_bigquery
Designed and executed complex SQL queries on an ecommerce dataset using Google BigQuery to uncover customer behavior patterns, sales performance, and category-level insights. Focused on extracting business value through data exploration and aggregation techniques.
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https://github.com/deddyandri/bank-loan-analysis
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https://github.com/prasoonsoni/database-management-systems
All the assignment's answers given by VIT.
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https://github.com/tazgreenwood/data-warden
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https://github.com/mobluse/prod-judge
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https://github.com/fedeegmz/sql-practice
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https://github.com/baku-stark/bootcamp-vivo-python-ai
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https://github.com/hkoosha/huter
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https://github.com/rociobenitez/sql-cheatsheet
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https://github.com/al-ghaly/iti-project
ITI Final/Graduation Project.
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Android Mobile App written in Java and SQL that helps Wayne State University students create and download schedules to help them plan out their degrees.
Last synced: 23 Mar 2025
https://github.com/muhammad-rebaal/naturalsql-for-material-science
NaturalSQL for Materials Science is an NLP-powered tool that allows researchers to query AiiDA databases using natural language instead of complex SQL. It automatically converts plain English queries into optimized SQL commands, generates detailed reports, and integrates with AiiDA's provenance tracking to deliver context-aware results.
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https://github.com/pabi1234810/data_analysis_zepto
A comprehensive SQL-based business intelligence solution for analyzing grocery store product data, inventory management, and pricing strategies. This project demonstrates end-to-end data analysis workflow from raw data exploration to actionable business insights.
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https://github.com/komal10t/komal
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https://github.com/hajarwalfi/driveandloc
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https://github.com/piyushkumar2025/analytical-sql-project-exploring-trends-segmentation-kpis
A complete SQL analytics project using a simulated data warehouse. It analyzes sales, customer, and product data with CTEs, joins, window functions, subqueries, and views to deliver insights on trends, segmentation, and KPIs, showing how SQL enables data-driven decisions without BI tools.
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https://github.com/asit-14/mysql-rdbms-
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https://github.com/dmarks84/coursework_capstone_spacex_predictions
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https://github.com/rstoetter/csmartsqlstatement-php
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