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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

Preface

This is the age of lightning-speed delivery. Whether it is the physical world of consumer products or the technological world that enables digitization, we want everything developed, built, and delivered at speed and at scale. Yes, I am talking about the software products and applications that are powering several million businesses these days. We all know that the knowledge, design, and choice of the database are critical in that journey. Is there a cookie-cutter template solution that gets you there quickly and correctly? The answer is no. But there are ways to get your idea into a product relatively faster and efficiently with the right design, and technical and business knowledge of your data. That is what I have addressed in this book.

This book focuses on taking the readers on a journey of taking idea through product, with a structured approach to guide you into asking the right questions and knowledge about your own data and business. It will also have a deep-dive discussion on each type and structure of data, and an immersive walk along the entire lifecycle of data in your application. You will also learn about database design best practices, considerations for data security, privacy and compliance with real-world examples and solutions with Google Cloud Database options for each category.

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