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Database Design and Modeling with Google Cloud

You're reading from  Database Design and Modeling with Google Cloud

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781804611456
Pages 234 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Abirami Sukumaran Abirami Sukumaran
Profile icon Abirami Sukumaran
LinkedIn
Abirami Sukumaran is a lead developer advocate at Google, focusing on databases and data to AI journey with Google Cloud. She has over 17 years of experience in data management, data governance, and analytics across several industries in various roles from engineering to leadership, and has 3 patents filed in the data area. She believes in driving social and business impact with technology. She is also an international keynote, tech panel, and motivational speaker, including key events like Google I/O, Cloud NEXT, MLDS, GDS, Huddle Global, India Startup Festival, Women Developers Academy, and so on. She founded Code Vipassana, an award-winning, non-profit, tech-enablement program powered by Google and she runs with the support of Google Developer Communities GDG Cloud Kochi, Chennai, Mumbai, and a few developer leads. She is pursuing her doctoral research in business administration with artificial intelligence, is a certified Yoga instructor, practitioner, and an Indian above everything else.
See other products by Abirami Sukumaran

Table of Contents (18) Chapters

Preface 1. Part 1:Database Model: Business and Technical Design Considerations
2. Chapter 1: Data, Databases, and Design 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

Database Modeling for Structured Data

In this chapter, we will discuss the properties, types, use cases, and key considerations of structured data, data modeling best practices, and SQL basics, and we will look at some hands-on data modeling and query experiments.

In this chapter, we’ll cover the following topics:

  • Structured data
  • RDBMS for structured data
  • Considerations for your RDBMS
  • Structured query language
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Authors (1)

Profile icon Abirami Sukumaran
LinkedIn
Abirami Sukumaran is a lead developer advocate at Google, focusing on databases and data to AI journey with Google Cloud. She has over 17 years of experience in data management, data governance, and analytics across several industries in various roles from engineering to leadership, and has 3 patents filed in the data area. She believes in driving social and business impact with technology. She is also an international keynote, tech panel, and motivational speaker, including key events like Google I/O, Cloud NEXT, MLDS, GDS, Huddle Global, India Startup Festival, Women Developers Academy, and so on. She founded Code Vipassana, an award-winning, non-profit, tech-enablement program powered by Google and she runs with the support of Google Developer Communities GDG Cloud Kochi, Chennai, Mumbai, and a few developer leads. She is pursuing her doctoral research in business administration with artificial intelligence, is a certified Yoga instructor, practitioner, and an Indian above everything else.
Read more
See other products by Abirami Sukumaran

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