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/bineet-ratna-shakya/database-management-for-e-commerce.
The project covers the entire lifecycle from initial entity identification and normalization to SQL implementation and querying.
database erd normalization oracle-database sql
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https://github.com/theremotecoder/code-portfolio-examples
Development portfolio - Code excerpts from other projects + live demos.
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https://github.com/arraypd/data-analysis-with-python-and-sql
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https://github.com/nagar2nd/amazon-sales-analysis-mysql
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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Here I am presenting API, which allows user to send data (from file with ".csv" extension) to earlier prepared database in MySQL Workbench. SQL statement introduced in "database_constructor(self)" method is an example statement. It can be freely edited to meet any user criteria.
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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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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/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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