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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

Scalability

Scalability is the ability of a system to handle increasing demands for resources. In the context of databases, scalability refers to the ability of a database to handle increasing demands for data storage and processing. There are two fundamental types of scalability that are vastly discussed:

  • Vertical scalability: Vertical scalability is the ability of a system to handle increasing demands by increasing the capacity of its resources. For example, a database can be vertically scaled by increasing the amount of memory or storage available to it.
  • Horizontal scalability: Horizontal scalability is the ability of a system to handle increasing demands by adding more nodes to the system. For example, a database can be horizontally scaled by adding more database servers to the cluster. Replication can also be considered as one of the ways of performing horizontal scaling, making the data more available within and across regions.

Simply put, horizontal scaling...

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