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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

NoSQL for semi-structured data

NoSQL is a type of database management system that is designed to cater to the needs of semi-structured and unstructured forms of data modeled in formats other than the tabular one supported by relational databases. NoSQL databases are mainly used to manage big data and real-time web applications. You can think of NoSQL as a system or language that not only supports SQL but also unstructured and semi-structured queries and data. The objective of NoSQL databases can be simply put as follows:

  • Robust and simple design
  • Flexible in terms of format and source
  • Object-oriented application—database dependency limitation
  • Better control over availability
  • Partition tolerance

NoSQL databases adhere to the CAP theorem, which guarantees two of the following three principles for any distributed data store:

  • Consistency: This is different from the consistency addressed by the atomicity, consistency, isolation, and durability...
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