https://github.com/codehariom/hacker-rank-sql-solution
Hacker-Rank Sql Solution
https://github.com/codehariom/hacker-rank-sql-solution
db sql sqlite
Last synced: 10 months ago
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Hacker-Rank Sql Solution
- Host: GitHub
- URL: https://github.com/codehariom/hacker-rank-sql-solution
- Owner: codehariom
- Created: 2023-12-18T05:11:17.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-22T05:44:00.000Z (about 1 year ago)
- Last Synced: 2024-11-22T06:26:30.758Z (about 1 year ago)
- Topics: db, sql, sqlite
- Homepage:
- Size: 35.2 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Hacker-Rank Basic SQL Quires
This repository contains solutions to the Basic SQL Queries challenges on HackerRank. These challenges are designed to help you improve your SQL skills by providing a set of problems to solve.
## Table of Contents
- [Introduction]
- [Getting Started]
- [Directory Structure]
- [Usage]
## Introduction
HackerRank is a platform that offers a variety of programming challenges to help individuals enhance their coding skills. The Basic SQL Queries track on HackerRank focuses on fundamental SQL queries and aims to improve your understanding of database querying.
This repository contains my solutions to the Basic SQL Queries challenges. Each solution is provided in a separate SQL file, named according to the corresponding challenge on HackerRank.
## Getting Started
To get started, you can clone this repository using the following command:
Make sure to replace `your-username` with your GitHub username.
## Directory Structure
The repository is organized as follows:
- **Challenges:** This directory contains the SQL files for each challenge, named appropriately.
- **README.md:** The main documentation file you are currently reading.
Feel free to explore the challenges directory to view the solutions for each problem.
## Usage
You can use these solutions to compare with your own, learn new SQL techniques, or get a better understanding of how to approach similar problems. Each SQL file is self-contained and includes comments for clarity.
To run the queries, you can use a SQL database system such as MySQL, PostgreSQL, or SQLite. Copy and paste the contents of the SQL file into your database management tool or run them through the command line.
## Happy coding!