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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
Concepts
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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

Migrating to cloud databases

Migrating databases to the cloud has become a pivotal strategy for organizations across the globe. In an age defined by digital transformation, businesses must be agile, scalable, and resilient to remain competitive. Cloud database migration is the key to achieving these goals and ensuring the long-term success of your enterprise. With all its benefits and tangible impact on business outcomes, it’s only natural that more and more organizations and businesses are moving to cloud databases and the tools or services that they use for enabling this migration come with a lot of responsibilities.

When considering a cloud database migration service or tool, there are several important considerations and requirements to ensure a successful transition. Here’s a comprehensive list of factors to keep in mind:

  • Compatibility assessment: The tool or service should provide a compatibility assessment to analyze the existing database and identify...
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