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https://github.com/sujeet-agrahari/postgres-db-partitioning-guide
A comprehensive guide to database partitioning strategies, providing real-time data examples and queries for experimentation and learning.
https://github.com/sujeet-agrahari/postgres-db-partitioning-guide
database database-management partitioning postgresql sql
Last synced: 2 months ago
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A comprehensive guide to database partitioning strategies, providing real-time data examples and queries for experimentation and learning.
- Host: GitHub
- URL: https://github.com/sujeet-agrahari/postgres-db-partitioning-guide
- Owner: sujeet-agrahari
- Created: 2023-06-11T00:41:59.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-25T14:47:04.000Z (5 months ago)
- Last Synced: 2024-01-28T03:03:21.105Z (5 months ago)
- Topics: database, database-management, partitioning, postgresql, sql
- Language: HTML
- Homepage:
- Size: 630 KB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Lists
- awesome-database-design - Database Partitioning Guide
README
# Database Partitioning Guide with Real-Time Data and Query Examples
Welcome to the **Database Partitioning Guide** repository! This comprehensive guide aims to provide you with a deep understanding of database partitioning strategies along with real-time data examples and query samples for experimentation and learning.
> [!IMPORTANT]
> Follow the files in below order to get started:
>
> - data-partition-presentation.pptx
>
> - partition-0.md
>
> - data-setup-1.md
>
> - range-partition-2.md
>
> - list-partition-3.md
>
> - hash-partition-4.md## Features
- **Real-Time Data**: Explore a diverse collection of real-time data sets that simulate large-scale databases. Gain practical insights into partitioning strategies using datasets from various industries and scenarios.
- **Partitioning Strategies**: Learn about different partitioning techniques, including range partitioning, list partitioning, hash partitioning, and more. Each strategy is explained in detail with examples and best practices.
- **Query Examples**: Discover a rich set of sample queries that demonstrate the benefits of partitioning. Understand how to optimize data retrieval, aggregation, filtering, and joins using partitioning techniques.
- **Step-by-Step Tutorials**: Follow along with step-by-step tutorials for implementing partitioning strategies in popular database systems like PostgreSQL, MySQL, or Oracle. Get hands-on experience with setup, configuration, and execution.
- **Troubleshooting and Performance Tuning**: Learn how to troubleshoot common issues and optimize performance in partitioned databases. Find guidance on enhancing efficiency and addressing potential challenges.
## Contributing
We encourage contributions from the community to enhance the Database Partitioning Guide. If you have additional partitioning strategies, new real-time datasets, or improved query examples, please feel free to submit a pull request. We also welcome feedback, suggestions, and questions through the issue tracking system.
## Get Started
To get started with the Database Partitioning Guide, clone the repository to your local machine:
```bash
git clone https://github.com/sujeet-agrahari/postgres-db-partitioning-guide.git
```