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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

Learning about BigQuery

BigQuery is a fully managed, completely serverless (no need to think about the underlying infrastructure), cost-effective, petabyte-scale enterprise data warehouse with built-in machine learning and BI analytics that works across clouds and sources and scales with your data. It is an important service for the transform (process, analyze) stage in the life cycle of your data.

An entire book can be dedicated to BigQuery and it still wouldn’t be sufficient to cover everything that BigQuery has to offer for your data and businesses in its fullest sense. We will take a look at the key features in the next section and try some of these hands-on in this chapter.

Features of BigQuery

In this section, I have tried to address the features that database practitioners and developers associate with the most:

  • With BigQuery, you can unify structured, unstructured, and semi-structured data and perform queries on them together. This means you can also...

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