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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

Table of Contents (18) Chapters

Preface Part 1:Database Model: Business and Technical Design Considerations
Chapter 1: Data, Databases, and Design Chapter 2: Handling Data on the Cloud Part 2:Structured Data
Chapter 3: Database Modeling for Structured Data Chapter 4: Setting Up a Fully Managed RDBMS Chapter 5: Designing an Analytical Data Warehouse Part 3:Semi-Structured, Unstructured Data, and NoSQL Design
Chapter 6: Designing for Semi-Structured Data Chapter 7: Unstructured Data Management Part 4:DevOps and Databases
Chapter 8: DevOps and Databases Part 5:Data to AI
Chapter 9: Data to AI – Modeling Your Databases for Analytics and ML Chapter 10: Looking Ahead – Designing for LLM Applications Index Other Books You May Enjoy

Data model considerations

When it comes to the data model design choice, we always struggle to choose between a hierarchical (collection group) format and a format closer to a denormalized form (top-level collection) of storing data. Before we get into that, let’s talk about the hierarchical and denormalized formats!

Hierarchical format

The hierarchical format represents information in a structured, nested format. This format is ideal for scenarios where data has clear parent–child relationships or when you want to maintain a well-defined structure. The following is an example of hierarchical data using JSON to represent an organizational hierarchy:

{
  "organization": {
    "name": "XYZ Corporation",
    "departments": [
      {
        "name": "HR",
     ...
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