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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

Performance and throughput

Performance and throughput are two important factors to consider when choosing a cloud database. Performance refers to how quickly the database can respond to queries, while throughput refers to how much data the database can process per unit of time.

There are a number of factors that can affect the performance and throughput of a cloud database, including the following:

  • The type of database: Different types of databases are suited for different workloads. For example, relational databases are well-suited for storing and querying structured data, while NoSQL databases are well-suited for storing and querying unstructured data.
  • The size of the database: The larger the database, the more resources it will require and the slower it will be.
  • The number of users: The more users that are accessing the database, the more resources it will require and the slower it will be.
  • The types of queries: Different types of queries can require different...
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