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This is an adaptable codebase with a focus on code reusability and scalability for backend data storage with integrated caching capabilities. Implementation contained focused on advanced MySQL, and NoSQL using MongoDB and Redis caching applications.

Shell 0.43% Python 99.57%
mongodb mongodb-atlas mongodb-database mongoose mysql-client mysql-database mysql8 python3 redis-cache sqlalchemy

backend-storage's Introduction

0x00. MySQL advanced

๐Ÿ“‚ Specializations โ€• Back-end Engineer ๐Ÿ‘ค by Guillaume Plessis, Senior Cloud & System Engineer at WeWork and Guillaume, CTO at Holberton school
ยฉ๏ธ Holberton School
๐Ÿ”–

Resources

Read or watch:

Learning Objectives

At the end of this project, you are expected to be able to explain to anyone, without the help of Google:

General

  • How to create tables with constraints
  • How to optimize queries by adding indexes
  • What is and how to implement stored procedures and functions in MySQL
  • What is and how to implement views in MySQL
  • What is and how to implement triggers in MySQL

Requirements

  • A README.md file.

Tasks

  • 0. We are all unique!
  • 1. In and not out
  • 2. Best band ever!
  • 3. Old school band
  • 4. Buy buy buy
  • 5. Email validation to sent
  • 6. Add bonus
  • 7. Average score
  • 8. Optimize simple search
  • 9. Optimize search and score
  • 10. Safe divide
  • 11. No table for a meeting
  • 12. Average weighted score
  • 13. Average weighted score for all!

Software Engineer

Rotimi Adebowale Owolabi :octocat: GitHub

backend-storage's People

Contributors

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Watchers

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