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AWS Cloud Projects

You're reading from   AWS Cloud Projects Strengthen your AWS skills through practical projects, from websites to advanced AI applications

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835889282
Length 266 pages
Edition 1st Edition
Tools
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Authors (2):
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Pedro Santos Pedro Santos
Author Profile Icon Pedro Santos
Pedro Santos
Ivo Pinto Ivo Pinto
Author Profile Icon Ivo Pinto
Ivo Pinto
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Toc

Table of Contents (15) Chapters Close

Preface 1. Part 1: Beginner Level Projects FREE CHAPTER
2. Chapter 1: Deploying and Interacting with AWS Services 3. Chapter 2: Creating a Personal Website 4. Part 2: Intermediate Level Projects
5. Chapter 3: Building a Recipe-Sharing Application 6. Chapter 4: Building a Serverless Recipe-Sharing Application 7. Chapter 5: Implementing an Image Analyzer to Detect Photo Friendliness 8. Chapter 6: Architecting a Content Translation Pipeline 9. Part 3: Advanced Level Projects
10. Chapter 7: Implementing a Chatbot Using Machine Learning 11. Chapter 8: Building a Business Intelligence Application 12. Chapter 9: Exploring Future Work 13. Index 14. Other Books You May Enjoy

Future work

Congratulations, you have successfully built a business intelligence application, including ingesting the data, processing, and exploring both through SQL queries as well as a visual approach. Being the last project for this book, is important to reinforce a message that should always be kept in mind for future projects: technology is constantly evolving, and new features, services, and best practices emerge regularly, so it is important to maintain a mindset of continuous improvement and this project is not an exception. This project can be a starting point for a business intelligence application, but there are specific actions that can make it more robust and production-ready.

Automate the ETL pipeline

One of the key areas for future enhancement lies around automating the ETL pipeline, which currently runs on-demand. A robust business intelligence application should incorporate automation at the orchestration level to ensure timely and reliable data processing....

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