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Database Design and Modeling with Google Cloud

You're reading from   Database Design and Modeling with Google Cloud Learn database design and development to take your data to applications, analytics, and AI

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781804611456
Length 234 pages
Edition 1st Edition
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Author (1):
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Abirami Sukumaran Abirami Sukumaran
Author Profile Icon Abirami Sukumaran
Abirami Sukumaran
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Database Model: Business and Technical Design Considerations
2. Chapter 1: Data, Databases, and Design FREE CHAPTER 3. Chapter 2: Handling Data on the Cloud 4. Part 2:Structured Data
5. Chapter 3: Database Modeling for Structured Data 6. Chapter 4: Setting Up a Fully Managed RDBMS 7. Chapter 5: Designing an Analytical Data Warehouse 8. Part 3:Semi-Structured, Unstructured Data, and NoSQL Design
9. Chapter 6: Designing for Semi-Structured Data 10. Chapter 7: Unstructured Data Management 11. Part 4:DevOps and Databases
12. Chapter 8: DevOps and Databases 13. Part 5:Data to AI
14. Chapter 9: Data to AI – Modeling Your Databases for Analytics and ML 15. Chapter 10: Looking Ahead – Designing for LLM Applications 16. Index 17. Other Books You May Enjoy

Ethical and responsible practices

In today’s world, where AI plays a pivotal role, it’s crucial to incorporate ethical practices to ensure that businesses and developers use LLMs in a way that benefits society and minimizes harm. Ethics in AI involves making responsible and morally sound choices when developing and deploying AI systems. In this section, we will discuss some of the core ethical and responsible data model design considerations for applications that use LLMs:

  • Ensure that data that’s used for training LLMs is collected and stored following ethical and legal guidelines, respecting user privacy rights. Implement robust security measures to protect sensitive data from unauthorized access:
    • It is imperative to obtain informed consent from users when collecting their data, clearly stating how their information will be used. Transparency in data collection practices builds trust with users and safeguards their privacy.
    • Regularly update data handling...
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