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Database Design and Modeling with Google Cloud

Database Design and Modeling with Google Cloud

By : Sukumaran
4.9 (7)
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Database Design and Modeling with Google Cloud

Database Design and Modeling with Google Cloud

4.9 (7)
By: Sukumaran

Overview of this book

In the age of lightning-speed delivery, customers want everything developed, built, and delivered at high speed and at scale. Knowledge, design, and choice of database is critical in that journey, but there is no one-size-fits-all solution. This book serves as a comprehensive and practical guide for data professionals who want to design and model their databases efficiently. The book begins by taking you through business, technical, and design considerations for databases. Next, it takes you on an immersive structured database deep dive for both transactional and analytical real-world use cases using Cloud SQL, Spanner, and BigQuery. As you progress, you’ll explore semi-structured and unstructured database considerations with practical applications using Firestore, cloud storage, and more. You’ll also find insights into operational considerations for databases and the database design journey for taking your data to AI with Vertex AI APIs and generative AI examples. By the end of this book, you will be well-versed in designing and modeling data and databases for your applications using Google Cloud.
Table of Contents (18 chapters)
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1
Part 1:Database Model: Business and Technical Design Considerations
4
Part 2:Structured Data
8
Part 3:Semi-Structured, Unstructured Data, and NoSQL Design
11
Part 4:DevOps and Databases
13
Part 5:Data to AI

Using an RDBMS for structured data

A Relational Database Management System (RDBMS) is a type of database management system that stores data in a structured format, allowing relationships to be made with other data stored within the database while adhering to the Atomicity, Consistency, Isolation, and Durability (ACID) properties of all transactions. Let’s take a look at these properties.

Atomicity

This property means that the transactions are completed in a manner that ensures that all the changes to data are complete or none of them are. For example, if an application transfers money from Account A to Account B, and if the debit from Account A is successful, then it is assumed that Account B will be credited with the money being transferred.

Consistency

This property means that data is in a consistent state throughout the life cycle of the transaction. For example, in the transaction we spoke about in the previous example, if the state of the transaction is collectively...

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