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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

Handling Data on the Cloud

What is cloud computing? By definition, it is the idea of getting things done with someone else’s computer. Have you noticed that little cloud-shaped icon in the “shapes and icons” collection in word editors that we use to represent the internet, in our flow charts and architecture diagrams? That is where it started. The idea of hosting any service on the internet became known as cloud computing, inspired by the icon. Cloud computing was created to accommodate the exponentially growing volumes of data, resources, and services that organizations use, which has been causing more expense and a lot of maintenance effort for several decades now. It is the kind of technology where we store, process, maintain, and visualize applications and data and other dependencies in a central, managed environment, basically with someone else’s resources (the provider who hosts and manages).

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