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/dann-oliv/db_query_exporter
Script para acessar o banco de dados desejado e extrair uma planilha de resultados de acordo com a query inserida.
Last synced: 27 Aug 2025
https://github.com/pradeepsingroul/dmartready
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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/c0m371/restsql
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https://github.com/GAMELEIRA/studies-database
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Analyzed election data for 540+ constituencies and 100+ parties using SQL. Calculated state-wise seat distributions, classified 30+ parties into alliances, identified top 10 candidates by EVM votes, calculated victory margins, and analyzed voting patterns for 300+ candidates to uncover key insights.
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https://github.com/joshdabestlol/cinevision
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https://github.com/rathianki/-8weeksqlchallenge-dany-ma-
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https://github.com/codad5/wemall
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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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This project aims to create a database management system for a music studio using Java and PostgreSQL. It includes tables and relationships to manage the studio's courses, customers, reservations, and payments.
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Automated Data Pipeline that ingests daily GA4-formatted CSV files from a private Google Cloud Storage bucket, validates and loads them into BigQuery, and prepares analysis-ready views. The solution is built for deployment as a Cloud Function triggered by Cloud Scheduler and uses Python with the Google Cloud Storage and BigQuery client libraries.
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