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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

Summary

Unstructured data has most certainly found its way through the heart and soul of every business these days. To take advantage of the data that is available to your business, irrespective of its size, format, structure, and source, you should ensure you have made the right design decisions for the storage service of your choice and the application that leverages it for your business. Keep in mind that the role of technology and platform providers when handling unstructured data should always be as follows:

  • To enable businesses to get the most value out of their data by leveraging sources of all formats and types
  • To manage and operate these services with efficient and automatic scaling, monitoring, encryption, security, and more, lifting the burden off of the shoulders of businesses
  • To smoothly integrate across platforms, programming languages, and services, providing the business with diverse options to choose from while it’s designing its applications...

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