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Database Design and Modeling with PostgreSQL and MySQL

You're reading from   Database Design and Modeling with PostgreSQL and MySQL Build efficient and scalable databases for modern applications using open source databases

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781803233475
Length 222 pages
Edition 1st Edition
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Authors (2):
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Alkin Tezuysal Alkin Tezuysal
Author Profile Icon Alkin Tezuysal
Alkin Tezuysal
Ibrar Ahmed Ibrar Ahmed
Author Profile Icon Ibrar Ahmed
Ibrar Ahmed
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Introduction to Databases
2. Chapter 1: SQL and NoSQL Databases: Characteristics, Design, and Trade-Offs FREE CHAPTER 3. Chapter 2: Building a Strong Foundation for Database Design 4. Part 2: Practical Implementation
5. Chapter 3: Getting Your Hands Dirty with PostgreSQL and MySQL 6. Part 3: Core Concepts in Database Design
7. Chapter 4: Mastering the Building Blocks of Database Design and Modeling 8. Part 4: Advanced Database Techniques
9. Chapter 5: Advanced Techniques for Advanced Databases 10. Chapter 6: Understanding Database Scalability 11. Part 5: Best Practices and Future Trends
12. Chapter 7: Best Practices for Building and Maintaining Your Database 13. Chapter 8: The Future of Databases and Their Designs 14. Index 15. Other Books You May Enjoy

Understanding Database Scalability

The chapter covers various topics related to database scalability. It begins by explaining what scalability is and why it is important for databases. It then discusses two main types of database scalability: horizontal and vertical scaling.

Horizontal scaling involves adding more servers to a database cluster to increase its processing power and storage capacity. The chapter explains the advantages and challenges of horizontal scaling and provides examples of how it can be implemented.

Vertical scaling, on the other hand, involves adding more resources to a single server, such as CPU, RAM, or storage. The chapter explains the pros and cons of vertical scaling and provides examples of how it can improve database performance.

The chapter also covers sharding, a technique used to distribute data across multiple servers. The chapter explains how sharding works and provides best practices for implementing it.

Replication is another technique...

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