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# Creating SQL Databases on AWS for Python Applications
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### Leveraging Amazon RDS, MySQL Workbench, and PyMySQL to build and deploy a SQL database on the cloud
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## Definitive Guide to Creating a SQL Database on Cloud with AWS and Python
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#### An easy-to-follow comprehensive guide on integrating Amazon RDS, MySQL Workbench, and PyMySQL to build and deploy a database in the cloud for Python applications
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Link to article: *Coming Soon!*
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Link to article: https://towardsdatascience.com/definitive-guide-to-create-an-sql-database-on-cloud-with-aws-and-python-c818c7270af2
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___
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#### References
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### Contents
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**Files**
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- `Example-Notebook.ipynb`:
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- `config.py`:
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**Folders**
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- `/ssl`:
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- `/assets`:
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___
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### Motivation
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- In the midst of building a web application for a client, I came across the need to set up a database system to store valuable user traffic data
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- While each component (i.e. AWS RDS, MySQL Workbench, and PyMySQL) is easy to work with, integrating them together to form a closed-loop system proved to be relatively challenging.
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- This is especially true given that online resources tend to be fragmented, with numerous important caveats and hurdles not clearly explained and illustrated.
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- Having overcome these challenges to successfully set up a production database in AWS, I believe it would be important to share this information with the community, including my future self.
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___
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### References
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- [Connect RDS - MySQL Workbench (AWS)](https://aws.amazon.com/premiumsupport/knowledge-center/connect-rds-mysql-workbench/)
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- [Be A Better Dev (Youtube)](https://www.youtube.com/channel/UCraiFqWi0qSIxXxXN4IHFBQ)
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- [Download SSL Certificate (AWS)](https://lightsail.aws.amazon.com/ls/docs/en_us/articles/amazon-lightsail-download-ssl-certificate-for-managed-database)

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