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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

SLA, SLI, and SLO

A service-level agreement (SLA) is a contract between a cloud provider and a customer that guarantees a certain level of service. For example, an SLA might guarantee that a database will be available 99.9% of the time.

Imagine you are the owner of a business that relies heavily on a cloud-based customer relationship management (CRM) system to manage interactions with your clients. You sign an SLA with your cloud service provider, and it guarantees that the CRM system will be available and accessible to your team 99.9% of the time over the course of a year. This means that you expect no more than 8 hours and 45 minutes of downtime in a year, ensuring that your business operations run smoothly.

A service-level indicator (SLI) is a metric that is used to measure the performance of a service. For example, an SLI for a database might be the average response time for queries.

Let’s consider a video streaming platform. An SLI for such a platform could be...

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