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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

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781804611456

Length 234 pages

Edition 1st Edition

Concepts

Databases

Author (1):

Abirami Sukumaran

View More author details

Table of Contents (18) Chapters

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

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17. Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

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Load data into BigQuery and materialize its output for downstream consumption
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Develop Airflow jobs to orchestrate and automate a data warehouse
Build a Hadoop data lake, create ephemeral clusters, and run jobs on the Dataproc cluster
Leverage Pub/Sub for messaging and ingestion for event-driven systems
Use Dataflow to perform ETL on streaming data
Unlock the power of your data with Data Studio
Calculate the GCP cost estimation for your end-to-end data solutions

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Discover how to prepare datasets to build an effective ML model
Forecast business...

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Authors (1)

Sukumaran

Sukumaran

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.

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